Unnamed: 0 int64 0 820k | system stringclasses 5 values | user stringlengths 16 308 | assistant stringlengths 79 1.36k ⌀ |
|---|---|---|---|
0 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Ep Epovska 81 Lubihjë XK Epërme Epërme Smith-Sanchez | {
"house_number": "81",
"street": "Epovska",
"city": "Lubinjë E Epërme",
"country": "XK",
"normalized": "81 Epovska, Lubinjë E Epërme, XK",
"simplified": "81 Epovska, Lubinjë E Epërme"
,
"building_name": "Smith-Sanchez"
} |
1 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 16 Olino Brod XK 三浦保険株式会社 | {
"house_number": "16",
"street": "Olino",
"city": "Brod",
"country": "XK",
"normalized": "16 Olino, Brod, XK",
"simplified": "16 Olino, Brod"
,
"building_name": "三浦保険株式会社"
} |
2 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 5n1 1 Maj Mogillëa XK Comercializadora Cáceres S.Coop. | {
"house_number": "51",
"street": "1 Maj",
"city": "Mogillë",
"country": "XK",
"normalized": "51 1 Maj, Mogillë, XK",
"simplified": "51 1 Maj, Mogillë"
,
"building_name": "Comercializadora Cáceres S.Coop."
} |
3 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Prjshtinë 1 XK 103 Tetori آل مقطة-فصيل | {
"house_number": "103",
"street": "1 Tetori",
"city": "Prishtinë",
"country": "XK",
"normalized": "103 1 Tetori, Prishtinë, XK",
"simplified": "103 1 Tetori, Prishtinë"
,
"building_name": "آل مقطة-فصيل"
} |
4 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK Tetori 95 Prishtinë 1y 斉藤保険株式会社 | {
"house_number": "95",
"street": "1 Tetori",
"city": "Prishtinë",
"country": "XK",
"normalized": "95 1 Tetori, Prishtinë, XK",
"simplified": "95 1 Tetori, Prishtinë"
,
"building_name": "斉藤保険株式会社"
} |
5 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 26 14 Prilli Çikatovë E Vjetër XK НПО «Селиверстов» | {
"house_number": "26",
"street": "14 Prilli",
"city": "Çikatovë E Vjetër",
"country": "XK",
"normalized": "26 14 Prilli, Çikatovë E Vjetër, XK",
"simplified": "26 14 Prilli, Çikatovë E Vjetër"
,
"building_name": "НПО «Селиверстов»"
} |
6 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Janari XK Reqak 15 201 فصيل and Sons | {
"house_number": "201",
"street": "15 Janari",
"city": "Reqak",
"country": "XK",
"normalized": "201 15 Janari, Reqak, XK",
"simplified": "201 15 Janari, Reqak"
,
"building_name": "فصيل and Sons"
} |
7 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 226 s15 Qershori Gjilan XK 易动力网络有限公司 | {
"house_number": "226",
"street": "15 Qershori",
"city": "Gjilan",
"country": "XK",
"normalized": "226 15 Qershori, Gjilan, XK",
"simplified": "226 15 Qershori, Gjilan"
,
"building_name": "易动力网络有限公司"
} |
8 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Qerwhohri 43814 Dragash 15 XK Monicelli, Luna e Fantoni s.r.l. | {
"house_number": "43",
"street": "15 Qershori",
"city": "Dragash",
"country": "XK",
"normalized": "43 15 Qershori, Dragash, XK",
"simplified": "43 15 Qershori, Dragash"
,
"building_name": "Monicelli, Luna e Fantoni s.r.l."
} |
9 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 34 XK Poduuevë 2 Kodruku الحكير PLC | {
"house_number": "34",
"street": "2 Korriku",
"city": "Podujevë",
"country": "XK",
"normalized": "34 2 Korriku, Podujevë, XK",
"simplified": "34 2 Korriku, Podujevë"
,
"building_name": "الحكير PLC"
} |
10 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 41 2 shipping shipping fee Korriku Mohlan CK Piazzi, Navarria e Maderno SPA | {
"house_number": "41",
"street": "2 Korriku",
"city": "Mohlan",
"country": "XK",
"normalized": "41 2 Korriku, Mohlan, XK",
"simplified": "41 2 Korriku, Mohlan"
,
"building_name": "Piazzi, Navarria e Maderno SPA"
} |
11 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | X, Vushtrri 2 Maji 46 Grupo Palacio S.A.D | {
"house_number": "46",
"street": "2 Maji",
"city": "Vushtrri",
"country": "XK",
"normalized": "46 2 Maji, Vushtrri, XK",
"simplified": "46 2 Maji, Vushtrri"
,
"building_name": "Grupo Palacio S.A.D"
} |
12 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 45 2 Nëntori Ptishginë XK 群英信息有限公司 | {
"house_number": "45",
"street": "2 Nëntori",
"city": "Prishtinë",
"country": "XK",
"normalized": "45 2 Nëntori, Prishtinë, XK",
"simplified": "45 2 Nëntori, Prishtinë"
,
"building_name": "群英信息有限公司"
} |
13 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 9 2 Qersyori Savrovë XK ОАО «Зуева» | {
"house_number": "9",
"street": "2 Qershori",
"city": "Savrovë",
"country": "XK",
"normalized": "9 2 Qershori, Savrovë, XK",
"simplified": "9 2 Qershori, Savrovë"
,
"building_name": "ОАО «Зуева»"
} |
14 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 37 24 Marsi Hodonoc XK АО «Горшкова-Комарова» | {
"house_number": "37",
"street": "24 Marsi",
"city": "Hodonoc",
"country": "XK",
"normalized": "37 24 Marsi, Hodonoc, XK",
"simplified": "37 24 Marsi, Hodonoc"
,
"building_name": "АО «Горшкова-Комарова»"
} |
15 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 73 24 aMarsi Luboahfë dXK أبو داوود-آل رفيع | {
"house_number": "73",
"street": "24 Marsi",
"city": "Lubozhdë",
"country": "XK",
"normalized": "73 24 Marsi, Lubozhdë, XK",
"simplified": "73 24 Marsi, Lubozhdë"
,
"building_name": "أبو داوود-آل رفيع"
} |
16 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 13 26 Marsi Lipjam XK Celia Perales Vives S.Com. | {
"house_number": "13",
"street": "26 Marsi",
"city": "Lipjan",
"country": "XK",
"normalized": "13 26 Marsi, Lipjan, XK",
"simplified": "13 26 Marsi, Lipjan"
,
"building_name": "Celia Perales Vives S.Com."
} |
17 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 340 27 Nëbtori Priahtinë XK XK العجلان, المهيدب and آل عايض | {
"house_number": "340",
"street": "27 Nëntori",
"city": "Prishtinë",
"country": "XK",
"normalized": "340 27 Nëntori, Prishtinë, XK",
"simplified": "340 27 Nëntori, Prishtinë"
,
"building_name": "العجلان, المهيدب and آل عايض"
} |
18 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 172 28 Nënttori Skenderzzj XL 信诚致远网络有限公司 | {
"house_number": "172",
"street": "28 Nëntori",
"city": "Skenderaj",
"country": "XK",
"normalized": "172 28 Nëntori, Skenderaj, XK",
"simplified": "172 28 Nëntori, Skenderaj"
,
"building_name": "信诚致远网络有限公司"
} |
19 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK 28 Obiliq 30 Nëntori Galán y Correa S.L. | {
"house_number": "30",
"street": "28 Nëntori",
"city": "Obiliq",
"country": "XK",
"normalized": "30 28 Nëntori, Obiliq, XK",
"simplified": "30 28 Nëntori, Obiliq"
,
"building_name": "Galán y Correa S.L."
} |
20 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Prizren 5 125 XK Maji ИП «Федосеева» | {
"house_number": "125",
"street": "5 Maji",
"city": "Prizren",
"country": "XK",
"normalized": "125 5 Maji, Prizren, XK",
"simplified": "125 5 Maji, Prizren"
,
"building_name": "ИП «Федосеева»"
} |
21 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 33 5 Maji Gjylekar XK Brown and Sons | {
"house_number": "33",
"street": "5 Maji",
"city": "Gjylekar",
"country": "XK",
"normalized": "33 5 Maji, Gjylekar, XK",
"simplified": "33 5 Maji, Gjylekar"
,
"building_name": "Brown and Sons"
} |
22 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 8 679 Ribar9z15 I Madh DK آل عايض Inc | {
"house_number": "8",
"street": "679",
"city": "Ribar I Madh",
"country": "XK",
"normalized": "8 679, Ribar I Madh, XK",
"simplified": "8 679, Ribar I Madh"
,
"building_name": "آل عايض Inc"
} |
23 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 151 8 Maji XK Dkbrushë Dkbrushë Soprano, Vergassola e Vasari e figli | {
"house_number": "151",
"street": "8 Maji",
"city": "Dobrushë",
"country": "XK",
"normalized": "151 8 Maji, Dobrushë, XK",
"simplified": "151 8 Maji, Dobrushë"
,
"building_name": "Soprano, Vergassola e Vasari e figli"
} |
24 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 95 95 9 XK404 XK404 Vraglli Prilli 和泰科技有限公司 | {
"house_number": "95",
"street": "9 Prilli",
"city": "Vragoli",
"country": "XK",
"normalized": "95 9 Prilli, Vragoli, XK",
"simplified": "95 9 Prilli, Vragoli"
,
"building_name": "和泰科技有限公司"
} |
25 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Murgull Sibani 34 XK Abaz 明腾科技有限公司 | {
"house_number": "34",
"street": "Abaz Sinani",
"city": "Murgull",
"country": "XK",
"normalized": "34 Abaz Sinani, Murgull, XK",
"simplified": "34 Abaz Sinani, Murgull"
,
"building_name": "明腾科技有限公司"
} |
26 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK Kukjan Aobdovcui 2n2 山本通信株式会社 | {
"house_number": "22",
"street": "Abdovci",
"city": "Kukjan",
"country": "XK",
"normalized": "22 Abdovci, Kukjan, XK",
"simplified": "22 Abdovci, Kukjan"
,
"building_name": "山本通信株式会社"
} |
27 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK Gjakova 9 Abdullah Havdri 合同会社高橋鉱業 | {
"house_number": "9",
"street": "Abdullah Hadri",
"city": "Gjakova",
"country": "XK",
"normalized": "9 Abdullah Hadri, Gjakova, XK",
"simplified": "9 Abdullah Hadri, Gjakova"
,
"building_name": "合同会社高橋鉱業"
} |
28 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 39 Abdjllah Qerkezi Obiliq XO ИП «Федоров, Воронцов и Уварова» | {
"house_number": "39",
"street": "Abdullah Qerkezi",
"city": "Obiliq",
"country": "XK",
"normalized": "39 Abdullah Qerkezi, Obiliq, XK",
"simplified": "39 Abdullah Qerkezi, Obiliq"
,
"building_name": "ИП «Федоров, Воронцов и Уварова»"
} |
29 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Abdu.lah Prizren 48 XK XK Satdati Udinesi Group | {
"house_number": "48",
"street": "Abdullah Sagdati",
"city": "Prizren",
"country": "XK",
"normalized": "48 Abdullah Sagdati, Prizren, XK",
"simplified": "48 Abdullah Sagdati, Prizren"
,
"building_name": "Udinesi Group"
} |
30 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 202k40 Gjilan XK Tahiri Abdullah 黄石金承传媒有限公司 | {
"house_number": "20",
"street": "Abdullah Tahiri",
"city": "Gjilan",
"country": "XK",
"normalized": "20 Abdullah Tahiri, Gjilan, XK",
"simplified": "20 Abdullah Tahiri, Gjilan"
,
"building_name": "黄石金承传媒有限公司"
} |
31 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK 91 91 Gërdellaj Gërdellaj Prizren Abdurrahman المغاولة-آل بن لافي | {
"house_number": "91",
"street": "Abdurrahman Gërdellaj",
"city": "Prizren",
"country": "XK",
"normalized": "91 Abdurrahman Gërdellaj, Prizren, XK",
"simplified": "91 Abdurrahman Gërdellaj, Prizren"
,
"building_name": "المغاولة-آل بن لافي"
} |
32 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Frashëri Abdyl package status 5 Ferizaj XK ИП «Котова, Овчинникова и Дементьев» | {
"house_number": "5",
"street": "Abdyl Frashëri",
"city": "Ferizaj",
"country": "XK",
"normalized": "5 Abdyl Frashëri, Ferizaj, XK",
"simplified": "5 Abdyl Frashëri, Ferizaj"
,
"building_name": "ИП «Котова, Овчинникова и Дементьев»"
} |
33 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK Abdyl Henc Henci 321 Williams, Smith and Smith | {
"house_number": "321",
"street": "Abdyl Henci",
"city": "Henc",
"country": "XK",
"normalized": "321 Abdyl Henci, Henc, XK",
"simplified": "321 Abdyl Henci, Henc"
,
"building_name": "Williams, Smith and Smith"
} |
34 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 82 Sbdyl Krasniqi Malishevë XK Edwards-Walker | {
"house_number": "82",
"street": "Abdyl Krasniqi",
"city": "Malishevë",
"country": "XK",
"normalized": "82 Abdyl Krasniqi, Malishevë, XK",
"simplified": "82 Abdyl Krasniqi, Malishevë"
,
"building_name": "Edwards-Walker"
} |
35 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 66 Abidin Lepraj Buçë XK آل قصير PLC | {
"house_number": "66",
"street": "Abidin Lepraj",
"city": "Buçë",
"country": "XK",
"normalized": "66 Abidin Lepraj, Buçë, XK",
"simplified": "66 Abidin Lepraj, Buçë"
,
"building_name": "آل قصير PLC"
} |
36 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Jashari 115 Wdem Vushtrri XK Bell Group | {
"house_number": "115",
"street": "Adem Jashari",
"city": "Vushtrri",
"country": "XK",
"normalized": "115 Adem Jashari, Vushtrri, XK",
"simplified": "115 Adem Jashari, Vushtrri"
,
"building_name": "Bell Group"
} |
37 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 129 Adem ਟ੍ਰੈਕਿੰਗ ਨੰਬਰ Jawhqri Pejë XK 群英信息有限公司 | {
"house_number": "129",
"street": "Adem Jashari",
"city": "Pejë",
"country": "XK",
"normalized": "129 Adem Jashari, Pejë, XK",
"simplified": "129 Adem Jashari, Pejë"
,
"building_name": "群英信息有限公司"
} |
38 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Adeq, Jashari 186 Malishevë eXK 泰麒麟科技有限公司 | {
"house_number": "186",
"street": "Adem Jashari",
"city": "Malishevë",
"country": "XK",
"normalized": "186 Adem Jashari, Malishevë, XK",
"simplified": "186 Adem Jashari, Malishevë"
,
"building_name": "泰麒麟科技有限公司"
} |
39 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Adem 188 Nerodimw Jamshari E Epërme XK آل مقطة PLC | {
"house_number": "188",
"street": "Adem Jashari",
"city": "Nerodime E Epërme",
"country": "XK",
"normalized": "188 Adem Jashari, Nerodime E Epërme, XK",
"simplified": "188 Adem Jashari, Nerodime E Epërme"
,
"building_name": "آل مقطة PLC"
} |
40 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 22 Ademv Jashari Neridime E55t4 Poshtme XK Leocadia Ariza Miranda S.A. | {
"house_number": "22",
"street": "Adem Jashari",
"city": "Nerodime E Poshtme",
"country": "XK",
"normalized": "22 Adem Jashari, Nerodime E Poshtme, XK",
"simplified": "22 Adem Jashari, Nerodime E Poshtme"
,
"building_name": "Leocadia Ariza Miranda S.A."
} |
41 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Epërme E Nerodime Jashari Adem 255 XK Meza, Bauer and Gilmore | {
"house_number": "255",
"street": "Adem Jashari",
"city": "Nerodime E Epërme",
"country": "XK",
"normalized": "255 Adem Jashari, Nerodime E Epërme, XK",
"simplified": "255 Adem Jashari, Nerodime E Epërme"
,
"building_name": "Meza, Bauer and Gilmore"
} |
42 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Jashari 331 Shtime XK Adem ЗАО «Рябов, Матвеев и Константинова» | {
"house_number": "331",
"street": "Adem Jashari",
"city": "Shtime",
"country": "XK",
"normalized": "331 Adem Jashari, Shtime, XK",
"simplified": "331 Adem Jashari, Shtime"
,
"building_name": "ЗАО «Рябов, Матвеев и Константинова»"
} |
43 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 44 Agrim764 bKiqina Çikatovë pE Re XK 合同会社田中鉱業 | {
"house_number": "44",
"street": "Afrim Kiqina",
"city": "Çikatovë E Re",
"country": "XK",
"normalized": "44 Afrim Kiqina, Çikatovë E Re, XK",
"simplified": "44 Afrim Kiqina, Çikatovë E Re"
,
"building_name": "合同会社田中鉱業"
} |
44 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 5 5 Wfrim Maliqi [rishtinë XK Anguita y Sierra S.Com. | {
"house_number": "5",
"street": "Afrim Maliqi",
"city": "Prishtinë",
"country": "XK",
"normalized": "5 Afrim Maliqi, Prishtinë, XK",
"simplified": "5 Afrim Maliqi, Prishtinë"
,
"building_name": "Anguita y Sierra S.Com."
} |
45 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 24 Afrim Sahiti Shtrubul,ovë XK آل عواض, آل مقطة and آل سعود | {
"house_number": "24",
"street": "Afrim Sahiti",
"city": "Shtrubullovë",
"country": "XK",
"normalized": "24 Afrim Sahiti, Shtrubullovë, XK",
"simplified": "24 Afrim Sahiti, Shtrubullovë"
,
"building_name": "آل عواض, آل مقطة and آل سعود"
} |
46 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Eldhani XK Bellanicë Ahi, 26 Иркутская нефтяная компания | {
"house_number": "26",
"street": "Agim Elshani",
"city": "Bellanicë",
"country": "XK",
"normalized": "26 Agim Elshani, Bellanicë, XK",
"simplified": "26 Agim Elshani, Bellanicë"
,
"building_name": "Иркутская нефтяная компания"
} |
47 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 60 Agim Wlshanj Bellanicë XK آل صفوان and Sons | {
"house_number": "60",
"street": "Agim Elshani",
"city": "Bellanicë",
"country": "XK",
"normalized": "60 Agim Elshani, Bellanicë, XK",
"simplified": "60 Agim Elshani, Bellanicë"
,
"building_name": "آل صفوان and Sons"
} |
48 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 236 Agim Gllsreva Gllsreva Vërboc XK Hopkins, Garcia and White | {
"house_number": "236",
"street": "Agim Gllareva",
"city": "Vërboc",
"country": "XK",
"normalized": "236 Agim Gllareva, Vërboc, XK",
"simplified": "236 Agim Gllareva, Vërboc"
,
"building_name": "Hopkins, Garcia and White"
} |
49 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | p76 Agim Prodani Prodani Doganaj XK XK Querol y Cabello S.Coop. | {
"house_number": "76",
"street": "Agim Prodani",
"city": "Doganaj",
"country": "XK",
"normalized": "76 Agim Prodani, Doganaj, XK",
"simplified": "76 Agim Prodani, Doganaj"
,
"building_name": "Querol y Cabello S.Coop."
} |
50 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 149 Agim Agim Famadsni Prisytinë XK Marrone, Desio e Tozzi SPA | {
"house_number": "149",
"street": "Agim Ramadani",
"city": "Prishtinë",
"country": "XK",
"normalized": "149 Agim Ramadani, Prishtinë, XK",
"simplified": "149 Agim Ramadani, Prishtinë"
,
"building_name": "Marrone, Desio e Tozzi SPA"
} |
51 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Rze,adani 172 Agim XK Peishtinë 合同会社斉藤保険 | {
"house_number": "172",
"street": "Agim Ramadani",
"city": "Prishtinë",
"country": "XK",
"normalized": "172 Agim Ramadani, Prishtinë, XK",
"simplified": "172 Agim Ramadani, Prishtinë"
,
"building_name": "合同会社斉藤保険"
} |
52 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Ramadani Agim 284 XK Lrishrinë الجفالي, آل بن ظافر and حنبولي | {
"house_number": "284",
"street": "Agim Ramadani",
"city": "Prishtinë",
"country": "XK",
"normalized": "284 Agim Ramadani, Prishtinë, XK",
"simplified": "284 Agim Ramadani, Prishtinë"
,
"building_name": "الجفالي, آل بن ظافر and حنبولي"
} |
53 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 109 109 Agron Bytyçi адрес Semegisht XK 佐藤印刷有限会社 | {
"house_number": "109",
"street": "Agron Bytyçi",
"city": "Semetisht",
"country": "XK",
"normalized": "109 Agron Bytyçi, Semetisht, XK",
"simplified": "109 Agron Bytyçi, Semetisht"
,
"building_name": "佐藤印刷有限会社"
} |
54 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 219 Agron Gashj Sllovi strapping XK Fowler Ltd | {
"house_number": "219",
"street": "Agron Gashi",
"city": "Sllovi",
"country": "XK",
"normalized": "219 Agron Gashi, Sllovi, XK",
"simplified": "219 Agron Gashi, Sllovi"
,
"building_name": "Fowler Ltd"
} |
55 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK fuel surcharge Gashi Agron Agron Sllovi961 259 Александрова Инк | {
"house_number": "259",
"street": "Agron Gashi",
"city": "Sllovi",
"country": "XK",
"normalized": "259 Agron Gashi, Sllovi, XK",
"simplified": "259 Agron Gashi, Sllovi"
,
"building_name": "Александрова Инк"
} |
56 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Gashi Atron S,kofi XK 602 Susanita Polo Puerta S.L.U. | {
"house_number": "602",
"street": "Agron Gashi",
"city": "Sllovi",
"country": "XK",
"normalized": "602 Agron Gashi, Sllovi, XK",
"simplified": "602 Agron Gashi, Sllovi"
,
"building_name": "Susanita Polo Puerta S.L.U."
} |
57 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | vehicle Bjocu on Pejë delivery Agush XK 23 for ОАО «Сысоева Лазарев» | {
"house_number": "23",
"street": "Agush Gjoci",
"city": "Pejë",
"country": "XK",
"normalized": "23 Agush Gjoci, Pejë, XK",
"simplified": "23 Agush Gjoci, Pejë"
,
"building_name": "ОАО «Сысоева Лазарев»"
} |
58 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 59 Ahmet Baqaj Dfenoc XK Palazzo, Fabrizi e Taliercio Group | {
"house_number": "59",
"street": "Ahmet Baqaj",
"city": "Drenoc",
"country": "XK",
"normalized": "59 Ahmet Baqaj, Drenoc, XK",
"simplified": "59 Ahmet Baqaj, Drenoc"
,
"building_name": "Palazzo, Fabrizi e Taliercio Group"
} |
59 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Tlmoqc XK 47 Ahmnet Ahmnet Cani Martinez LLC | {
"house_number": "47",
"street": "Ahmet Cani",
"city": "Tomoc",
"country": "XK",
"normalized": "47 Ahmet Cani, Tomoc, XK",
"simplified": "47 Ahmet Cani, Tomoc"
,
"building_name": "Martinez LLC"
} |
60 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 57 Ahmet Jaxha Mitroviva الرمز البريدي (al-ramz al-barīdī) XK أبو داوود and Sons | {
"house_number": "57",
"street": "Ahmet Haxha",
"city": "Mitrovica",
"country": "XK",
"normalized": "57 Ahmet Haxha, Mitrovica, XK",
"simplified": "57 Ahmet Haxha, Mitrovica"
,
"building_name": "أبو داوود and Sons"
} |
61 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | cAhmrt Haxhiu [rishtinë640 XK 49 合同会社鈴木運輸 | {
"house_number": "49",
"street": "Ahmet Haxhiu",
"city": "Prishtinë",
"country": "XK",
"normalized": "49 Ahmet Haxhiu, Prishtinë, XK",
"simplified": "49 Ahmet Haxhiu, Prishtinë"
,
"building_name": "合同会社鈴木運輸"
} |
62 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 91 Ahmeth Haxhiu Prishtinë XK Fry LLC | {
"house_number": "91",
"street": "Ahmet Haxhiu",
"city": "Prishtinë",
"country": "XK",
"normalized": "91 Ahmet Haxhiu, Prishtinë, XK",
"simplified": "91 Ahmet Haxhiu, Prishtinë"
,
"building_name": "Fry LLC"
} |
63 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Ferozaj Kaçiku Ahmet 94 XK Johnson LLC | {
"house_number": "94",
"street": "Ahmet Kaçiku",
"city": "Ferizaj",
"country": "XK",
"normalized": "94 Ahmet Kaçiku, Ferizaj, XK",
"simplified": "94 Ahmet Kaçiku, Ferizaj"
,
"building_name": "Johnson LLC"
} |
64 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 14 Ahmet Krasniqi Mitrovica XK Jackson-Smith | {
"house_number": "14",
"street": "Ahmet Krasniqi",
"city": "Mitrovica",
"country": "XK",
"normalized": "14 Ahmet Krasniqi, Mitrovica, XK",
"simplified": "14 Ahmet Krasniqi, Mitrovica"
,
"building_name": "Jackson-Smith"
} |
65 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Krausniqvi Prishtinë XK 2a38 2a38 Akhnet Verri e figli | {
"house_number": "238",
"street": "Ahmet Krasniqi",
"city": "Prishtinë",
"country": "XK",
"normalized": "238 Ahmet Krasniqi, Prishtinë, XK",
"simplified": "238 Ahmet Krasniqi, Prishtinë"
,
"building_name": "Verri e figli"
} |
66 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 53 Ahmet ,rasrniqi Priczren XK 中村農林株式会社 | {
"house_number": "53",
"street": "Ahmet Krasniqi",
"city": "Prizren",
"country": "XK",
"normalized": "53 Ahmet Krasniqi, Prizren, XK",
"simplified": "53 Ahmet Krasniqi, Prizren"
,
"building_name": "中村農林株式会社"
} |
67 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 67 XK Ahmet Mitrovica Mitrovica Sselaci Verdone, Scarfoglio e Zacchia SPA | {
"house_number": "67",
"street": "Ahmet Selaci",
"city": "Mitrovica",
"country": "XK",
"normalized": "67 Ahmet Selaci, Mitrovica, XK",
"simplified": "67 Ahmet Selaci, Mitrovica"
,
"building_name": "Verdone, Scarfoglio e Zacchia SPA"
} |
68 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 33 Ajet Hylenaj Tërnavc XK MBP软件信息有限公司 | {
"house_number": "33",
"street": "Ajet Hylenaj",
"city": "Tërnavc",
"country": "XK",
"normalized": "33 Ajet Hylenaj, Tërnavc, XK",
"simplified": "33 Ajet Hylenaj, Tërnavc"
,
"building_name": "MBP软件信息有限公司"
} |
69 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Ajet gBubël XK Rahmanaj 6 村上食品有限会社 | {
"house_number": "6",
"street": "Ajet Rahmanaj",
"city": "Bubël",
"country": "XK",
"normalized": "6 Ajet Rahmanaj, Bubël, XK",
"simplified": "6 Ajet Rahmanaj, Bubël"
,
"building_name": "村上食品有限会社"
} |
70 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Ademaj Ali 19 XK Popoc 合同会社佐藤通信 | {
"house_number": "19",
"street": "Ali Ademaj",
"city": "Popoc",
"country": "XK",
"normalized": "19 Ali Ademaj, Popoc, XK",
"simplified": "19 Ali Ademaj, Popoc"
,
"building_name": "合同会社佐藤通信"
} |
71 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 20 Ali Bytyqi Rufc I102 Vjetër CJ НПО «Фадеева, Ковалева и Игнатов» | {
"house_number": "20",
"street": "Ali Bytyqi",
"city": "Rufc I Vjetër",
"country": "XK",
"normalized": "20 Ali Bytyqi, Rufc I Vjetër, XK",
"simplified": "20 Ali Bytyqi, Rufc I Vjetër"
,
"building_name": "НПО «Фадеева, Ковалева и Игнатов»"
} |
72 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Hadri XK Ali Lipjan 11 11 Salieri s.r.l. | {
"house_number": "11",
"street": "Ali Hadri",
"city": "Lipjan",
"country": "XK",
"normalized": "11 Ali Hadri, Lipjan, XK",
"simplified": "11 Ali Hadri, Lipjan"
,
"building_name": "Salieri s.r.l."
} |
73 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Ali XK XK 61 Hadri Prizren Aloisio-Palombi e figli | {
"house_number": "61",
"street": "Ali Hadri",
"city": "Prizren",
"country": "XK",
"normalized": "61 Ali Hadri, Prizren, XK",
"simplified": "61 Ali Hadri, Prizren"
,
"building_name": "Aloisio-Palombi e figli"
} |
74 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 15 Ali Hoxha Budakovë XJ Coleman Inc | {
"house_number": "15",
"street": "Ali Hoxha",
"city": "Budakovë",
"country": "XK",
"normalized": "15 Ali Hoxha, Budakovë, XK",
"simplified": "15 Ali Hoxha, Budakovë"
,
"building_name": "Coleman Inc"
} |
75 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 24 Ali Ibra Prizren XK 维旺明网络有限公司 | {
"house_number": "24",
"street": "Ali Ibra",
"city": "Prizren",
"country": "XK",
"normalized": "24 Ali Ibra, Prizren, XK",
"simplified": "24 Ali Ibra, Prizren"
,
"building_name": "维旺明网络有限公司"
} |
76 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 5 CK Musa Ferizaj Ali 山田建設有限会社 | {
"house_number": "5",
"street": "Ali Musa",
"city": "Ferizaj",
"country": "XK",
"normalized": "5 Ali Musa, Ferizaj, XK",
"simplified": "5 Ali Musa, Ferizaj"
,
"building_name": "山田建設有限会社"
} |
77 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 133p Ali Pashë Tepelena Gjakova XO Hotel Taboada S.Com. | {
"house_number": "133",
"street": "Ali Pashë Tepelena",
"city": "Gjakova",
"country": "XK",
"normalized": "133 Ali Pashë Tepelena, Gjakova, XK",
"simplified": "133 Ali Pashë Tepelena, Gjakova"
,
"building_name": "Hotel Taboada S.Com."
} |
78 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | ਟ੍ਰੈਕਿੰਗ (ṭraikiga) 220 Ali Bitia Prishtinë XK 石川印刷有限会社 | {
"house_number": "220",
"street": "Ali Vitia",
"city": "Prishtinë",
"country": "XK",
"normalized": "220 Ali Vitia, Prishtinë, XK",
"simplified": "220 Ali Vitia, Prishtinë"
,
"building_name": "石川印刷有限会社"
} |
79 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK Izetbegovic Vitomiricë 171 Alija Lorenza Rey Borrell S.L. | {
"house_number": "171",
"street": "Alija Izetbegovic",
"city": "Vitomiricë",
"country": "XK",
"normalized": "171 Alija Izetbegovic, Vitomiricë, XK",
"simplified": "171 Alija Izetbegovic, Vitomiricë"
,
"building_name": "Lorenza Rey Borrell S.L."
} |
80 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Komogllavë XK 50 Aloy Micca-Vittadello s.r.l. | {
"house_number": "50",
"street": "Aliu",
"city": "Komogllavë",
"country": "XK",
"normalized": "50 Aliu, Komogllavë, XK",
"simplified": "50 Aliu, Komogllavë"
,
"building_name": "Micca-Vittadello s.r.l."
} |
81 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | service service level b305 Alush Smajli Llazicë XK Gabrieli, Silvestri e Iacovelli Group | {
"house_number": "305",
"street": "Alush Smajli",
"city": "Llazicë",
"country": "XK",
"normalized": "305 Alush Smajli, Llazicë, XK",
"simplified": "305 Alush Smajli, Llazicë"
,
"building_name": "Gabrieli, Silvestri e Iacovelli Group"
} |
82 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK I Stanoc 32 Epërme Amerika 三浦運輸株式会社 | {
"house_number": "32",
"street": "Amerika",
"city": "Stanoc I Epërme",
"country": "XK",
"normalized": "32 Amerika, Stanoc I Epërme, XK",
"simplified": "32 Amerika, Stanoc I Epërme"
,
"building_name": "三浦運輸株式会社"
} |
83 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 74 Abbtigona Fazliu Prishtinë XK Шарапов Инкорпорэйтед | {
"house_number": "74",
"street": "Antigona Fazliu",
"city": "Prishtinë",
"country": "XK",
"normalized": "74 Antigona Fazliu, Prishtinë, XK",
"simplified": "74 Antigona Fazliu, Prishtinë"
,
"building_name": "Шарапов Инкорпорэйтед"
} |
84 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Anton Pejë XK 8 Çeta Reyes Escribano Ramón S.Coop. | {
"house_number": "8",
"street": "Anton Çeta",
"city": "Pejë",
"country": "XK",
"normalized": "8 Anton Çeta, Pejë, XK",
"simplified": "8 Anton Çeta, Pejë"
,
"building_name": "Reyes Escribano Ramón S.Coop."
} |
85 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 30 Aenton Çerta XK Prizren أبو داوود, حنبولي and آل صفوان | {
"house_number": "30",
"street": "Anton Çetta",
"city": "Prizren",
"country": "XK",
"normalized": "30 Anton Çetta, Prizren, XK",
"simplified": "30 Anton Çetta, Prizren"
,
"building_name": "أبو داوود, حنبولي and آل صفوان"
} |
86 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | E XK XK Stubëll Wpërme Snton Qeta 63 晖来计算机信息有限公司 | {
"house_number": "63",
"street": "Anton Qeta",
"city": "Stubëll E Epërme",
"country": "XK",
"normalized": "63 Anton Qeta, Stubëll E Epërme, XK",
"simplified": "63 Anton Qeta, Stubëll E Epërme"
,
"building_name": "晖来计算机信息有限公司"
} |
87 | Your task is to extract address components from the user's message. Ignore any missing information and exclude those fields from your output. Return the data in JSON format using this structure:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 36 Arben Arben gQerimaj Rastavicë XK Pizzo-Cheda s.r.l. | {
"house_number": "36",
"street": "Arben Qerimaj",
"city": "Rastavicë",
"country": "XK",
"normalized": "36 Arben Qerimaj, Rastavicë, XK",
"simplified": "36 Arben Qerimaj, Rastavicë"
,
"building_name": "Pizzo-Cheda s.r.l."
} |
88 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Xheladini Pryishtinë 188 XK Arben Субботина Инкорпорэйтед | {
"house_number": "188",
"street": "Arben Xheladini",
"city": "Prishtinë",
"country": "XK",
"normalized": "188 Arben Xheladini, Prishtinë, XK",
"simplified": "188 Arben Xheladini, Prishtinë"
,
"building_name": "Субботина Инкорпорэйтед"
} |
89 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 11 Arbëria Arbëria Greme DK Пермэнергосбыт | {
"house_number": "11",
"street": "Arbëria",
"city": "Greme",
"country": "XK",
"normalized": "11 Arbëria, Greme, XK",
"simplified": "11 Arbëria, Greme"
,
"building_name": "Пермэнергосбыт"
} |
90 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK Ardhmëria 15 Mgucat Горшкова Групп | {
"house_number": "15",
"street": "Ardhmëria",
"city": "Ngucat",
"country": "XK",
"normalized": "15 Ardhmëria, Ngucat, XK",
"simplified": "15 Ardhmëria, Ngucat"
,
"building_name": "Горшкова Групп"
} |
91 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Aroif XK 176 Arifi Smirë НПО «Федосеева, Комиссарова и Некрасов» | {
"house_number": "176",
"street": "Arif Arifi",
"city": "Smirë",
"country": "XK",
"normalized": "176 Arif Arifi, Smirë, XK",
"simplified": "176 Arif Arifi, Smirë"
,
"building_name": "НПО «Федосеева, Комиссарова и Некрасов»"
} |
92 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 135 Arif Vokshi takip numarası Pobëexhë Pobëexhë XK XK Amaya y Sanchez S.L. | {
"house_number": "135",
"street": "Arif Vokshi",
"city": "Pobërxhë",
"country": "XK",
"normalized": "135 Arif Vokshi, Pobërxhë, XK",
"simplified": "135 Arif Vokshi, Pobërxhë"
,
"building_name": "Amaya y Sanchez S.L."
} |
93 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK Arsim Muzaqi Muzaqi Vjshtrri r39 Inmobiliaria NGU S.A. | {
"house_number": "39",
"street": "Arsim Muzaqi",
"city": "Vushtrri",
"country": "XK",
"normalized": "39 Arsim Muzaqi, Vushtrri, XK",
"simplified": "39 Arsim Muzaqi, Vushtrri"
,
"building_name": "Inmobiliaria NGU S.A."
} |
94 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | Rrustollj 21 Arsim Vushtrri XK 巨奥信息有限公司 | {
"house_number": "21",
"street": "Arsim Rrustolli",
"city": "Vushtrri",
"country": "XK",
"normalized": "21 Arsim Rrustolli, Vushtrri, XK",
"simplified": "21 Arsim Rrustolli, Vushtrri"
,
"building_name": "巨奥信息有限公司"
} |
95 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 103 103 Artim Jashari Mfitrovica XK Прохорова и партнеры | {
"house_number": "103",
"street": "Artim Jashari",
"city": "Mitrovica",
"country": "XK",
"normalized": "103 Artim Jashari, Mitrovica, XK",
"simplified": "103 Artim Jashari, Mitrovica"
,
"building_name": "Прохорова и партнеры"
} |
96 | Extract any address information from the user's input. If the input is mixed up or contaminated you may need to correct it. Omit missing fields and present the data in JSON format as shown below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | rBerisha 32540 Asim XK XK Prizren العليان LLC | {
"house_number": "32",
"street": "Asim Berisha",
"city": "Prizren",
"country": "XK",
"normalized": "32 Asim Berisha, Prizren, XK",
"simplified": "32 Asim Berisha, Prizren"
,
"building_name": "العليان LLC"
} |
97 | Follow these steps to extract the address information from the user's input:
1. Read the user's message carefully.
2. Identify any address components present.
3. Extract these components.
4. Exclude any fields that are missing or not mentioned.
5. Correct user entry errors.
6. Return the extracted information in JSON format using the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 65 Asllan XK Laci Llsshkadrenoc Fibonacci-Pacomio Group | {
"house_number": "65",
"street": "Asllan Laci",
"city": "Llashkadrenoc",
"country": "XK",
"normalized": "65 Asllan Laci, Llashkadrenoc, XK",
"simplified": "65 Asllan Laci, Llashkadrenoc"
,
"building_name": "Fibonacci-Pacomio Group"
} |
98 | Parse the user's input to extract any available address details, correct any issues. Do not include fields that are not provided. Present the information in JSON format as per the example:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | 36 Xneladini XK Ouklibev Svdo 佐藤印刷有限会社 | {
"house_number": "36",
"street": "Avdi Xheladini",
"city": "Kuklibeg",
"country": "XK",
"normalized": "36 Avdi Xheladini, Kuklibeg, XK",
"simplified": "36 Avdi Xheladini, Kuklibeg"
,
"building_name": "佐藤印刷有限会社"
} |
99 | Please extract any present address elements from the user's input. Do not mention or include fields that are absent. The user input may be dirty or mixed up. Provide the extracted address in JSON format following the template below:
Output format:
{
"house_number": "<house number>",
"building_name": "<building name>",
"street": "<street name>",
"city": "<city name>",
"postal_code": "<postal or zip code>",
"state": "<state or province name>",
"country": "<country name>",
"normalized": "<human readable normalized address>",
"simplified": "<simplified format>"
} | XK Bugbari 118 Avdbullah Avdbullah document tracking tracking Rahovwc 时刻信息有限公司 | {
"house_number": "118",
"street": "Avdullah Bugari",
"city": "Rahovec",
"country": "XK",
"normalized": "118 Avdullah Bugari, Rahovec, XK",
"simplified": "118 Avdullah Bugari, Rahovec"
,
"building_name": "时刻信息有限公司"
} |
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