Unnamed: 0 int64 0 820k | system stringclasses 5
values | user stringlengths 16 308 | assistant stringlengths 79 1.36k ⌀ |
|---|---|---|---|
200 | 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": "... | Denir XK 6 Xemiraj Samadrdxhë 合同会社遠藤電気 | {
"house_number": "6",
"street": "Demir Demiraj",
"city": "Samadrexhë",
"country": "XK",
"normalized": "6 Demir Demiraj, Samadrexhë, XK",
"simplified": "6 Demir Demiraj, Samadrexhë"
,
"building_name": "合同会社遠藤電気"
} |
201 | 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 f... | 6 Dëshmorët E Atkantikut Sipijë XK Corona Valera Somoza S.L.N.E | {
"house_number": "6",
"street": "Dëshmorët E Atlantikut",
"city": "Sopijë",
"country": "XK",
"normalized": "6 Dëshmorët E Atlantikut, Sopijë, XK",
"simplified": "6 Dëshmorët E Atlantikut, Sopijë"
,
"building_name": "Corona Valera Somoza S.L.N.E"
} |
202 | 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... | 251 Dëshmorët E Fshatita Bajçinë XK XK آل صفوان, الجابر and فصيل | {
"house_number": "251",
"street": "Dëshmorët E Fshatit",
"city": "Bajçinë",
"country": "XK",
"normalized": "251 Dëshmorët E Fshatit, Bajçinë, XK",
"simplified": "251 Dëshmorët E Fshatit, Bajçinë"
,
"building_name": "آل صفوان, الجابر and فصيل"
} |
203 | 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 f... | 14f4 Cëshjorët E Izbbicës Izbicë XK Tasca, Vanvitelli e Vecellio SPA | {
"house_number": "144",
"street": "Dëshmorët E Izbicës",
"city": "Izbicë",
"country": "XK",
"normalized": "144 Dëshmorët E Izbicës, Izbicë, XK",
"simplified": "144 Dëshmorët E Izbicës, Izbicë"
,
"building_name": "Tasca, Vanvitelli e Vecellio SPA"
} |
204 | 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>",
"c... | 123 Dëshmodët E Kombit Deçan XK989 Servicios Arévalo y asociados S.A. | {
"house_number": "123",
"street": "Dëshmorët E Kombit",
"city": "Deçan",
"country": "XK",
"normalized": "123 Dëshmorët E Kombit, Deçan, XK",
"simplified": "123 Dëshmorët E Kombit, Deçan"
,
"building_name": "Servicios Arévalo y asociados S.A."
} |
205 | 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>",
"ci... | 188 Dëshjorët E bundesland Maedcit Prishtinë XK Diaz LLC | {
"house_number": "188",
"street": "Dëshmorët E Marecit",
"city": "Prishtinë",
"country": "XK",
"normalized": "188 Dëshmorët E Marecit, Prishtinë, XK",
"simplified": "188 Dëshmorët E Marecit, Prishtinë"
,
"building_name": "Diaz LLC"
} |
206 | 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>",
"ci... | Weskovë 21 Dëshmorët Qeskovës Es yXK الشايع Group | {
"house_number": "21",
"street": "Dëshmorët E Qeskovës",
"city": "Qeskovë",
"country": "XK",
"normalized": "21 Dëshmorët E Qeskovës, Qeskovë, XK",
"simplified": "21 Dëshmorët E Qeskovës, Qeskovë"
,
"building_name": "الشايع Group"
} |
207 | 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 f... | Shajnë XK E Shajnes Dëshmorët 38 آل جعفر PLC | {
"house_number": "38",
"street": "Dëshmorët E Shajnes",
"city": "Shajnë",
"country": "XK",
"normalized": "38 Dëshmorët E Shajnes, Shajnë, XK",
"simplified": "38 Dëshmorët E Shajnes, Shajnë"
,
"building_name": "آل جعفر PLC"
} |
208 | 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": "... | 115 Dëshmorët E Uçk Kryshec پوسٹل کوڈ کوڈ (postal code) XK Petralli-Pasqua SPA | {
"house_number": "115",
"street": "Dëshmorët E Uçk",
"city": "Kryshec",
"country": "XK",
"normalized": "115 Dëshmorët E Uçk, Kryshec, XK",
"simplified": "115 Dëshmorët E Uçk, Kryshec"
,
"building_name": "Petralli-Pasqua SPA"
} |
209 | 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>",
"c... | 31 Dëshmorët Nomanaj Gllogjan XK XK 株式会社清水建設 | {
"house_number": "31",
"street": "Dëshmorët Nimanaj",
"city": "Gllogjan",
"country": "XK",
"normalized": "31 Dëshmorët Nimanaj, Gllogjan, XK",
"simplified": "31 Dëshmorët Nimanaj, Gllogjan"
,
"building_name": "株式会社清水建設"
} |
210 | 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... | 38 Dëxhmorëve Suharekë XK 精芯信息有限公司 | {
"house_number": "38",
"street": "Dëshmorëve",
"city": "Suharekë",
"country": "XK",
"normalized": "38 Dëshmorëve, Suharekë, XK",
"simplified": "38 Dëshmorëve, Suharekë"
,
"building_name": "精芯信息有限公司"
} |
211 | 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 f... | 150 Dëshmori I Kombut Leletiq XK Taylor-Mckenzie | {
"house_number": "150",
"street": "Dëshmori I Kombit",
"city": "Leletiq",
"country": "XK",
"normalized": "150 Dëshmori I Kombit, Leletiq, XK",
"simplified": "150 Dëshmori I Kombit, Leletiq"
,
"building_name": "Taylor-Mckenzie"
} |
212 | 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>",
"c... | XK lI Dhjetori Kombit 156 Pleshinë Draghi, Silvestri e Spinola Group | {
"house_number": "156",
"street": "Dhjetori I Kombit",
"city": "Pleshinë",
"country": "XK",
"normalized": "156 Dhjetori I Kombit, Pleshinë, XK",
"simplified": "156 Dhjetori I Kombit, Pleshinë"
,
"building_name": "Draghi, Silvestri e Spinola Group"
} |
213 | 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... | 11 11 Dibra Prkzren Prkzren XK 浦华众城科技有限公司 | {
"house_number": "11",
"street": "Dibra",
"city": "Prizren",
"country": "XK",
"normalized": "11 Dibra, Prizren, XK",
"simplified": "11 Dibra, Prizren"
,
"building_name": "浦华众城科技有限公司"
} |
214 | 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>",
"ci... | facility Bajrushi 33 Bec XK Din Cerutti, Canil e Respighi s.r.l. | {
"house_number": "33",
"street": "Din Bajrushi",
"city": "Bec",
"country": "XK",
"normalized": "33 Din Bajrushi, Bec, XK",
"simplified": "33 Din Bajrushi, Bec"
,
"building_name": "Cerutti, Canil e Respighi s.r.l."
} |
215 | 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>",
"ci... | ;lukac Thatë I 123 Dituria XK Valenciano y Durán S.L. | {
"house_number": "123",
"street": "Dituria",
"city": "Llukac I Thatë",
"country": "XK",
"normalized": "123 Dituria, Llukac I Thatë, XK",
"simplified": "123 Dituria, Llukac I Thatë"
,
"building_name": "Valenciano y Durán S.L."
} |
216 | 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>",
"c... | 24 Dof Resrelicë XK Pedrazzini-Tacchini s.r.l. | {
"house_number": "24",
"street": "Dof",
"city": "Restelicë",
"country": "XK",
"normalized": "24 Dof, Restelicë, XK",
"simplified": "24 Dof, Restelicë"
,
"building_name": "Pedrazzini-Tacchini s.r.l."
} |
217 | 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 f... | 51 DogandIc Eva Gushtericë E Poshtëme XK АО «Давыдов-Елисеев» | {
"house_number": "51",
"street": "DogandIc Eva",
"city": "Gushtericë E Poshtëme",
"country": "XK",
"normalized": "51 DogandIc Eva, Gushtericë E Poshtëme, XK",
"simplified": "51 DogandIc Eva, Gushtericë E Poshtëme"
,
"building_name": "АО «Давыдов-Елисеев»"
} |
218 | 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": "... | Bishtazhin Dim 55 ZK Luka АвтоГермес | {
"house_number": "55",
"street": "Dom Luka",
"city": "Bishtazhin",
"country": "XK",
"normalized": "55 Dom Luka, Bishtazhin, XK",
"simplified": "55 Dom Luka, Bishtazhin"
,
"building_name": "АвтоГермес"
} |
219 | 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>",
"ci... | 11 Dom Nikollë Kaçorei Binçë XK 株式会社中村電気 | {
"house_number": "11",
"street": "Dom Nikollë Kaçorri",
"city": "Binçë",
"country": "XK",
"normalized": "11 Dom Nikollë Kaçorri, Binçë, XK",
"simplified": "11 Dom Nikollë Kaçorri, Binçë"
,
"building_name": "株式会社中村電気"
} |
220 | 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... | 29 Domenyik Përgegaj Breiof Breiof XK 山崎鉱業合同会社 | {
"house_number": "29",
"street": "Domenik Përgegaj",
"city": "Brekoc",
"country": "XK",
"normalized": "29 Domenik Përgegaj, Brekoc, XK",
"simplified": "29 Domenik Përgegaj, Brekoc"
,
"building_name": "山崎鉱業合同会社"
} |
221 | 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... | Dremixa XK 105 Prishtinë Chittolini, Pistoletto e Bocca e figli | {
"house_number": "105",
"street": "Drenica",
"city": "Prishtinë",
"country": "XK",
"normalized": "105 Drenica, Prishtinë, XK",
"simplified": "105 Drenica, Prishtinë"
,
"building_name": "Chittolini, Pistoletto e Bocca e figli"
} |
222 | 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": "... | Polsx Driton l26 qVeliu XK المشاولة-المهيدب | {
"house_number": "26",
"street": "Driton Veliu",
"city": "Polac",
"country": "XK",
"normalized": "26 Driton Veliu, Polac, XK",
"simplified": "26 Driton Veliu, Polac"
,
"building_name": "المشاولة-المهيدب"
} |
223 | 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... | 45 Dukqgjini Ferizaj XK Tecnologías Nuñez y asociados S.Coop. | {
"house_number": "45",
"street": "Dukagjini",
"city": "Ferizaj",
"country": "XK",
"normalized": "45 Dukagjini, Ferizaj, XK",
"simplified": "45 Dukagjini, Ferizaj"
,
"building_name": "Tecnologías Nuñez y asociados S.Coop."
} |
224 | 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>",
"ci... | Durrësi Durrësi 6 Pruzren XK Perez-Mcpherson | {
"house_number": "6",
"street": "Durrësi",
"city": "Prizren",
"country": "XK",
"normalized": "6 Durrësi, Prizren, XK",
"simplified": "6 Durrësi, Prizren"
,
"building_name": "Perez-Mcpherson"
} |
225 | 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... | 11 Edit Burham Balincë Balincë XK Puga y Amo S.L. | {
"house_number": "11",
"street": "Edit Burham",
"city": "Balincë",
"country": "XK",
"normalized": "11 Edit Burham, Balincë, XK",
"simplified": "11 Edit Burham, Balincë"
,
"building_name": "Puga y Amo S.L."
} |
226 | 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 f... | 156 aErir Duthamw Prizcrwn XK Chiaramonte s.r.l. | {
"house_number": "156",
"street": "Edit Durham",
"city": "Prizren",
"country": "XK",
"normalized": "156 Edit Durham, Prizren, XK",
"simplified": "156 Edit Durham, Prizren"
,
"building_name": "Chiaramonte s.r.l."
} |
227 | 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>",
"c... | 238 XK Edit Pirizren Durham آل قصير Group | {
"house_number": "238",
"street": "Edit Durham",
"city": "Prizren",
"country": "XK",
"normalized": "238 Edit Durham, Prizren, XK",
"simplified": "238 Edit Durham, Prizren"
,
"building_name": "آل قصير Group"
} |
228 | 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 f... | 5 Edit Durham Jahoc DK Promociones Cardona S.Com. | {
"house_number": "5",
"street": "Edit Durham",
"city": "Jahoc",
"country": "XK",
"normalized": "5 Edit Durham, Jahoc, XK",
"simplified": "5 Edit Durham, Jahoc"
,
"building_name": "Promociones Cardona S.Com."
} |
229 | 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>",
"c... | 60 Liar Prishrinë XL tracking Eduard Combi, Zamorani e Sommaruga e figli | {
"house_number": "60",
"street": "Eduard Lir",
"city": "Prishtinë",
"country": "XK",
"normalized": "60 Eduard Lir, Prishtinë, XK",
"simplified": "60 Eduard Lir, Prishtinë"
,
"building_name": "Combi, Zamorani e Sommaruga e figli"
} |
230 | 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... | 10 XK Syhfadoll Egzodi Farmer-Murray | {
"house_number": "10",
"street": "Egzodi",
"city": "Suhadoll",
"country": "XK",
"normalized": "10 Egzodi, Suhadoll, XK",
"simplified": "10 Egzodi, Suhadoll"
,
"building_name": "Farmer-Murray"
} |
231 | 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>",
"c... | E Gadime 99 Stzodi 190 qXK Epërcme Mathews, Hampton and Ball | {
"house_number": "190",
"street": "Egzodi 99",
"city": "Gadime E Epërme",
"country": "XK",
"normalized": "190 Egzodi 99, Gadime E Epërme, XK",
"simplified": "190 Egzodi 99, Gadime E Epërme"
,
"building_name": "Mathews, Hampton and Ball"
} |
232 | 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>",
"c... | E zone 99 48 Gadime XK Epërme Egzvodi آل الشيخ-الحكير | {
"house_number": "48",
"street": "Egzodi 99",
"city": "Gadime E Epërme",
"country": "XK",
"normalized": "48 Egzodi 99, Gadime E Epërme, XK",
"simplified": "48 Egzodi 99, Gadime E Epërme"
,
"building_name": "آل الشيخ-الحكير"
} |
233 | 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... | Bajtaumi Ekrem 18 XK Zborc Группа Агат | {
"house_number": "18",
"street": "Ekrem Bajrami",
"city": "Zborc",
"country": "XK",
"normalized": "18 Ekrem Bajrami, Zborc, XK",
"simplified": "18 Ekrem Bajrami, Zborc"
,
"building_name": "Группа Агат"
} |
234 | 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... | XK 42 Ekrem Berosha Pejë Farmaceútica Rocamora y asociados S.Com. | {
"house_number": "42",
"street": "Ekrem Berisha",
"city": "Pejë",
"country": "XK",
"normalized": "42 Ekrem Berisha, Pejë, XK",
"simplified": "42 Ekrem Berisha, Pejë"
,
"building_name": "Farmaceútica Rocamora y asociados S.Com."
} |
235 | 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... | Nëntë 231 Jugoviqë Dili XK Eirem Ferrucci-Anguissola Group | {
"house_number": "231",
"street": "Ekrem Dili",
"city": "Nëntë Jugoviqë",
"country": "XK",
"normalized": "231 Ekrem Dili, Nëntë Jugoviqë, XK",
"simplified": "231 Ekrem Dili, Nëntë Jugoviqë"
,
"building_name": "Ferrucci-Anguissola Group"
} |
236 | 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>",
"c... | XK forwarded 227 Pemë Engjell Edliot Rosselli, Dulbecco e Garzoni Group | {
"house_number": "227",
"street": "Eliot Engjell",
"city": "Pejë",
"country": "XK",
"normalized": "227 Eliot Engjell, Pejë, XK",
"simplified": "227 Eliot Engjell, Pejë"
,
"building_name": "Rosselli, Dulbecco e Garzoni Group"
} |
237 | 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 f... | Engjell Eliot Pejë XO address range 67 Legnante-Traversa Group | {
"house_number": "67",
"street": "Eliot Engjell",
"city": "Pejë",
"country": "XK",
"normalized": "67 Eliot Engjell, Pejë, XK",
"simplified": "67 Eliot Engjell, Pejë"
,
"building_name": "Legnante-Traversa Group"
} |
238 | 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>",
"c... | Baicë Elji Lestrani 55 XK НПО «Ермакова, Фомин и Александрова» | {
"house_number": "55",
"street": "Elmi Lestrani",
"city": "Baicë",
"country": "XK",
"normalized": "55 Elmi Lestrani, Baicë, XK",
"simplified": "55 Elmi Lestrani, Baicë"
,
"building_name": "НПО «Ермакова, Фомин и Александрова»"
} |
239 | 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... | Gjakocva 35 Elton832 XK Zherka Zherka Ruggeri SPA | {
"house_number": "35",
"street": "Elton Zherka",
"city": "Gjakova",
"country": "XK",
"normalized": "35 Elton Zherka, Gjakova, XK",
"simplified": "35 Elton Zherka, Gjakova"
,
"building_name": "Ruggeri SPA"
} |
240 | 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>",
"ci... | 32 Emin Emin Abazi Prizren XK 东方峻景网络有限公司 | {
"house_number": "32",
"street": "Emin Abazi",
"city": "Prizren",
"country": "XK",
"normalized": "32 Emin Abazi, Prizren, XK",
"simplified": "32 Emin Abazi, Prizren"
,
"building_name": "东方峻景网络有限公司"
} |
241 | 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": "... | Emijj 7 Duraky XK versand Gjhakova 和泰信息有限公司 | {
"house_number": "7",
"street": "Emin Duraku",
"city": "Gjakova",
"country": "XK",
"normalized": "7 Emin Duraku, Gjakova, XK",
"simplified": "7 Emin Duraku, Gjakova"
,
"building_name": "和泰信息有限公司"
} |
242 | 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": "... | 4 Emru Safdafi Reçan DK 诺依曼软件网络有限公司 | {
"house_number": "4",
"street": "Emru Sagdati",
"city": "Reçan",
"country": "XK",
"normalized": "4 Emru Sagdati, Reçan, XK",
"simplified": "4 Emru Sagdati, Reçan"
,
"building_name": "诺依曼软件网络有限公司"
} |
243 | 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 f... | XK Emrush Prishtinë Miftarj 77 商软冠联科技有限公司 | {
"house_number": "77",
"street": "Emrush Miftari",
"city": "Prishtinë",
"country": "XK",
"normalized": "77 Emrush Miftari, Prishtinë, XK",
"simplified": "77 Emrush Miftari, Prishtinë"
,
"building_name": "商软冠联科技有限公司"
} |
244 | 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>",
"c... | 123 123 Engjëll Zehfi Fshati I Vjetër XK 井上水産合同会社 | {
"house_number": "123",
"street": "Engjëll Zefi",
"city": "Fshati I Vjetër",
"country": "XK",
"normalized": "123 Engjëll Zefi, Fshati I Vjetër, XK",
"simplified": "123 Engjëll Zefi, Fshati I Vjetër"
,
"building_name": "井上水産合同会社"
} |
245 | 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>",
"ci... | 22 Enver E[ërm XK XK I Stfellc Avdimetaj Avdimetaj 思优传媒有限公司 | {
"house_number": "22",
"street": "Enver Avdimetaj",
"city": "Strellc I Epërm",
"country": "XK",
"normalized": "22 Enver Avdimetaj, Strellc I Epërm, XK",
"simplified": "22 Enver Avdimetaj, Strellc I Epërm"
,
"building_name": "思优传媒有限公司"
} |
246 | 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>",
"c... | 141 Eqrem Çabej Studençan XL 株式会社井上建設 | {
"house_number": "141",
"street": "Eqrem Çabej",
"city": "Studençan",
"country": "XK",
"normalized": "141 Eqrem Çabej, Studençan, XK",
"simplified": "141 Eqrem Çabej, Studençan"
,
"building_name": "株式会社井上建設"
} |
247 | 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 f... | 64 Eqrem Çabej Llazarevë XK 戴硕电子信息有限公司 | {
"house_number": "64",
"street": "Eqrem Çabej",
"city": "Llazarevë",
"country": "XK",
"normalized": "64 Eqrem Çabej, Llazarevë, XK",
"simplified": "64 Eqrem Çabej, Llazarevë"
,
"building_name": "戴硕电子信息有限公司"
} |
248 | 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 f... | 21 Eqrem iQabej Pejë XK451 Durham Group | {
"house_number": "21",
"street": "Eqrem Qabej",
"city": "Pejë",
"country": "XK",
"normalized": "21 Eqrem Qabej, Pejë, XK",
"simplified": "21 Eqrem Qabej, Pejë"
,
"building_name": "Durham Group"
} |
249 | 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": "... | 5 Shtime Qabej205 XK Eqrem Sanchez, Reid and Ellis | {
"house_number": "5",
"street": "Eqrem Qabej",
"city": "Shtime",
"country": "XK",
"normalized": "5 Eqrem Qabej, Shtime, XK",
"simplified": "5 Eqrem Qabej, Shtime"
,
"building_name": "Sanchez, Reid and Ellis"
} |
250 | 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 f... | a13 Rrnest Klliqi Dugajevë SI ОАО «Герасимов» | {
"house_number": "13",
"street": "Ernest Koliqi",
"city": "Dugajevë",
"country": "XK",
"normalized": "13 Ernest Koliqi, Dugajevë, XK",
"simplified": "13 Ernest Koliqi, Dugajevë"
,
"building_name": "ОАО «Герасимов»"
} |
251 | 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": "... | 56363 Ersan Mazrek Prkzren XK Castioni, Cardano e Zaguri SPA | {
"house_number": "56",
"street": "Ersan Mazrek",
"city": "Prizren",
"country": "XK",
"normalized": "56 Ersan Mazrek, Prizren, XK",
"simplified": "56 Ersan Mazrek, Prizren"
,
"building_name": "Castioni, Cardano e Zaguri SPA"
} |
252 | 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>",
"c... | statut 18 Rogovë de Erfzeji l'expédition XK Макарова Групп | {
"house_number": "18",
"street": "Erzeni",
"city": "Rogovë",
"country": "XK",
"normalized": "18 Erzeni, Rogovë, XK",
"simplified": "18 Erzeni, Rogovë"
,
"building_name": "Макарова Групп"
} |
253 | 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 f... | 83 Evlia Qelebia Gjilaan570 XK XK Payne-Davis | {
"house_number": "83",
"street": "Evlia Qelebia",
"city": "Gjilan",
"country": "XK",
"normalized": "83 Evlia Qelebia, Gjilan, XK",
"simplified": "83 Evlia Qelebia, Gjilan"
,
"building_name": "Payne-Davis"
} |
254 | 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": "... | bundesland 218 Fadil Celiqi Mitrovicab XK Industrias Novoa S.Com. | {
"house_number": "218",
"street": "Fadil Deliqi",
"city": "Mitrovica",
"country": "XK",
"normalized": "218 Fadil Deliqi, Mitrovica, XK",
"simplified": "218 Fadil Deliqi, Mitrovica"
,
"building_name": "Industrias Novoa S.Com."
} |
255 | 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... | Fahri Fahri Lipjan XK 26 Fazliu Supermercados RU S.Com. | {
"house_number": "26",
"street": "Fahri Fazliu",
"city": "Lipjan",
"country": "XK",
"normalized": "26 Fahri Fazliu, Lipjan, XK",
"simplified": "26 Fahri Fazliu, Lipjan"
,
"building_name": "Supermercados RU S.Com."
} |
256 | 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>",
"ci... | XO Fsaczluu 706 पता Fahri Prishtonë Ruberto, Travaglia e Ariosto Group | {
"house_number": "706",
"street": "Fahri Fazliu",
"city": "Prishtinë",
"country": "XK",
"normalized": "706 Fahri Fazliu, Prishtinë, XK",
"simplified": "706 Fahri Fazliu, Prishtinë"
,
"building_name": "Ruberto, Travaglia e Ariosto Group"
} |
257 | 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>",
"c... | Faik XK Rama 113 Rahovec 时空盒数字传媒有限公司 | {
"house_number": "113",
"street": "Faik Rama",
"city": "Rahovec",
"country": "XK",
"normalized": "113 Faik Rama, Rahovec, XK",
"simplified": "113 Faik Rama, Rahovec"
,
"building_name": "时空盒数字传媒有限公司"
} |
258 | 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": "... | Rahovec XK Rama 87 Fauk Орехов Групп | {
"house_number": "87",
"street": "Faik Rama",
"city": "Rahovec",
"country": "XK",
"normalized": "87 Faik Rama, Rahovec, XK",
"simplified": "87 Faik Rama, Rahovec"
,
"building_name": "Орехов Групп"
} |
259 | 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>",
"ci... | Fazli 23 Tërypezë Tërypezë Hajrari XK Hermanos Torres S.Coop. | {
"house_number": "23",
"street": "Fazli Hajdari",
"city": "Tërpezë",
"country": "XK",
"normalized": "23 Fazli Hajdari, Tërpezë, XK",
"simplified": "23 Fazli Hajdari, Tërpezë"
,
"building_name": "Hermanos Torres S.Coop."
} |
260 | 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>",
"c... | Fazli Sudkish 120 XK Jaha 有限会社池田水産 | {
"house_number": "120",
"street": "Fazli Jaha",
"city": "Surkish",
"country": "XK",
"normalized": "120 Fazli Jaha, Surkish, XK",
"simplified": "120 Fazli Jaha, Surkish"
,
"building_name": "有限会社池田水産"
} |
261 | 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 f... | 113 Fegmi Afani Muzeqipnë XK 佐藤情報合同会社 | {
"house_number": "113",
"street": "Fehmi Agani",
"city": "Muzeqinë",
"country": "XK",
"normalized": "113 Fehmi Agani, Muzeqinë, XK",
"simplified": "113 Fehmi Agani, Muzeqinë"
,
"building_name": "佐藤情報合同会社"
} |
262 | 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 f... | XK Feumi Pejë 14 Avgani Malaparte s.r.l. | {
"house_number": "14",
"street": "Fehmi Agani",
"city": "Pejë",
"country": "XK",
"normalized": "14 Fehmi Agani, Pejë, XK",
"simplified": "14 Fehmi Agani, Pejë"
,
"building_name": "Malaparte s.r.l."
} |
263 | 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": "... | Lipjan Fehmi Jups 4x9 XK Wood-Evans | {
"house_number": "49",
"street": "Fehmi Jupa",
"city": "Lipjan",
"country": "XK",
"normalized": "49 Fehmi Jupa, Lipjan, XK",
"simplified": "49 Fehmi Jupa, Lipjan"
,
"building_name": "Wood-Evans"
} |
264 | 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 f... | Fejzë 108 delivery for Ramadani Komoyran XK sorted АО «Матвеева» | {
"house_number": "108",
"street": "Fejzë Ramadani",
"city": "Komoran",
"country": "XK",
"normalized": "108 Fejzë Ramadani, Komoran, XK",
"simplified": "108 Fejzë Ramadani, Komoran"
,
"building_name": "АО «Матвеева»"
} |
265 | 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 f... | Grajçevci Fejzullah XK 107 Obiliq 南康传媒有限公司 | {
"house_number": "107",
"street": "Fejzullah Grajçevci",
"city": "Obiliq",
"country": "XK",
"normalized": "107 Fejzullah Grajçevci, Obiliq, XK",
"simplified": "107 Fejzullah Grajçevci, Obiliq"
,
"building_name": "南康传媒有限公司"
} |
266 | 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": "... | Grajçevci Fejzullah XK 125 Obiliq Alboni-Dibiasi s.r.l. | {
"house_number": "125",
"street": "Fejzullah Grajçevci",
"city": "Obiliq",
"country": "XK",
"normalized": "125 Fejzullah Grajçevci, Obiliq, XK",
"simplified": "125 Fejzullah Grajçevci, Obiliq"
,
"building_name": "Alboni-Dibiasi s.r.l."
} |
267 | 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... | 1k Ferhat Dragaj Prishtinë XK Inzaghi SPA | {
"house_number": "1",
"street": "Ferhat Dragaj",
"city": "Prishtinë",
"country": "XK",
"normalized": "1 Ferhat Dragaj, Prishtinë, XK",
"simplified": "1 Ferhat Dragaj, Prishtinë"
,
"building_name": "Inzaghi SPA"
} |
268 | 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>",
"ci... | 145 Fdrhat Eragaj Prishtinë XK Pena, Bishop and Jackson | {
"house_number": "145",
"street": "Ferhat Dragaj",
"city": "Prishtinë",
"country": "XK",
"normalized": "145 Ferhat Dragaj, Prishtinë, XK",
"simplified": "145 Ferhat Dragaj, Prishtinë"
,
"building_name": "Pena, Bishop and Jackson"
} |
269 | 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>",
"ci... | 12 Feriz Hashia Rastavicë DK 鈴木鉱業株式会社 | {
"house_number": "12",
"street": "Feriz Haxhia",
"city": "Rastavicë",
"country": "XK",
"normalized": "12 Feriz Haxhia, Rastavicë, XK",
"simplified": "12 Feriz Haxhia, Rastavicë"
,
"building_name": "鈴木鉱業株式会社"
} |
270 | 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... | 126 Ferizaji Çagllabicë XK 株式会社中川印刷 | {
"house_number": "126",
"street": "Ferizaji",
"city": "Çagllavicë",
"country": "XK",
"normalized": "126 Ferizaji, Çagllavicë, XK",
"simplified": "126 Ferizaji, Çagllavicë"
,
"building_name": "株式会社中川印刷"
} |
271 | 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": "... | Fetah Fetahu 43 XK Shtedimm Interminelli, Bertoni e Asprucci SPA | {
"house_number": "43",
"street": "Fetah Fetahu",
"city": "Shtedim",
"country": "XK",
"normalized": "43 Fetah Fetahu, Shtedim, XK",
"simplified": "43 Fetah Fetahu, Shtedim"
,
"building_name": "Interminelli, Bertoni e Asprucci SPA"
} |
272 | 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>",
"ci... | Dobëfllukë Merovci Flamur 30 30 XK MBP软件网络有限公司 | {
"house_number": "30",
"street": "Flamur Merovci",
"city": "Dobërllukë",
"country": "XK",
"normalized": "30 Flamur Merovci, Dobërllukë, XK",
"simplified": "30 Flamur Merovci, Dobërllukë"
,
"building_name": "MBP软件网络有限公司"
} |
273 | 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 f... | 169 Xërxë XK Fdlnamuri Pistoletto, Fischetti e Bernardini e figli | {
"house_number": "169",
"street": "Flamuri",
"city": "Xërxë",
"country": "XK",
"normalized": "169 Flamuri, Xërxë, XK",
"simplified": "169 Flamuri, Xërxë"
,
"building_name": "Pistoletto, Fischetti e Bernardini e figli"
} |
274 | 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>",
"ci... | Flamuri Dushanovë XK 62238 I Atbërit الخرافي, المشاولة and المهنا | {
"house_number": "62",
"street": "Flamuri I Arbërit",
"city": "Dushanovë",
"country": "XK",
"normalized": "62 Flamuri I Arbërit, Dushanovë, XK",
"simplified": "62 Flamuri I Arbërit, Dushanovë"
,
"building_name": "الخرافي, المشاولة and المهنا"
} |
275 | 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... | Flamurit589 Brodosanë XK 106 المشاولة Group | {
"house_number": "106",
"street": "Flamurit",
"city": "Brodosanë",
"country": "XK",
"normalized": "106 Flamurit, Brodosanë, XK",
"simplified": "106 Flamurit, Brodosanë"
,
"building_name": "المشاولة Group"
} |
276 | 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": "... | Flutura number XK receipt 8 Carrallukë أبو داوود Ltd | {
"house_number": "8",
"street": "Flutura",
"city": "Carrallukë",
"country": "XK",
"normalized": "8 Flutura, Carrallukë, XK",
"simplified": "8 Flutura, Carrallukë"
,
"building_name": "أبو داوود Ltd"
} |
277 | 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>",
"c... | Frqshëri 42 Makoc XK 图龙信息信息有限公司 | {
"house_number": "42",
"street": "Frashëri",
"city": "Makoc",
"country": "XK",
"normalized": "42 Frashëri, Makoc, XK",
"simplified": "42 Frashëri, Makoc"
,
"building_name": "图龙信息信息有限公司"
} |
278 | 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": "... | L;apashticë E Fusha Epërme 99 E Gjhnlive XK Alonso y asociados S.L. | {
"house_number": "99",
"street": "Fusha E Gjynlive",
"city": "Llapashticë E Epërme",
"country": "XK",
"normalized": "99 Fusha E Gjynlive, Llapashticë E Epërme, XK",
"simplified": "99 Fusha E Gjynlive, Llapashticë E Epërme"
,
"building_name": "Alonso y asociados S.L."
} |
279 | 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>",
"c... | 274 Gani Saramati Prizren XK 凌颖信息信息有限公司 | {
"house_number": "274",
"street": "Gani Saramati",
"city": "Prizren",
"country": "XK",
"normalized": "274 Gani Saramati, Prizren, XK",
"simplified": "274 Gani Saramati, Prizren"
,
"building_name": "凌颖信息信息有限公司"
} |
280 | 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": "... | XK Sooa Ganimete 35 Bukosh 近藤運輸合同会社 | {
"house_number": "35",
"street": "Ganimete Sopa",
"city": "Bukosh",
"country": "XK",
"normalized": "35 Ganimete Sopa, Bukosh, XK",
"simplified": "35 Ganimete Sopa, Bukosh"
,
"building_name": "近藤運輸合同会社"
} |
281 | 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": "... | 40 Gjakova Tërbeshi XK Ganimetd 佐藤銀行合同会社 | {
"house_number": "40",
"street": "Ganimete Tërbeshi",
"city": "Gjakova",
"country": "XK",
"normalized": "40 Ganimete Tërbeshi, Gjakova, XK",
"simplified": "40 Ganimete Tërbeshi, Gjakova"
,
"building_name": "佐藤銀行合同会社"
} |
282 | 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": "... | 72 iGanimete Tërbeshi Prkshtimë Prkshtimë ZK Gordon-Baker | {
"house_number": "72",
"street": "Ganimete Tërbeshi",
"city": "Prishtinë",
"country": "XK",
"normalized": "72 Ganimete Tërbeshi, Prishtinë, XK",
"simplified": "72 Ganimete Tërbeshi, Prishtinë"
,
"building_name": "Gordon-Baker"
} |
283 | 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": "... | 21 Garibalidi Fkerizaj XK Rosselli-Pistoletto SPA | {
"house_number": "21",
"street": "Garibalidi",
"city": "Ferizaj",
"country": "XK",
"normalized": "21 Garibalidi, Ferizaj, XK",
"simplified": "21 Garibalidi, Ferizaj"
,
"building_name": "Rosselli-Pistoletto SPA"
} |
284 | 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>",
"c... | Zajmi XK Gazmend 57 Ferjzaj آل عطفة, العجلان and آل جعفر | {
"house_number": "57",
"street": "Gazmend Zajmi",
"city": "Ferizaj",
"country": "XK",
"normalized": "57 Gazmend Zajmi, Ferizaj, XK",
"simplified": "57 Gazmend Zajmi, Ferizaj"
,
"building_name": "آل عطفة, العجلان and آل جعفر"
} |
285 | 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 f... | wSllaftinë Gqërdeci E jVogël 13 XK Tecnologías Canales S.Coop. | {
"house_number": "13",
"street": "Gërdeci",
"city": "Sllatinë E Vogël",
"country": "XK",
"normalized": "13 Gërdeci, Sllatinë E Vogël, XK",
"simplified": "13 Gërdeci, Sllatinë E Vogël"
,
"building_name": "Tecnologías Canales S.Coop."
} |
286 | 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>",
"ci... | 163 Gëzim Hamza Rajoveco XK 佐藤農林有限会社 | {
"house_number": "163",
"street": "Gëzim Hamza",
"city": "Rahovec",
"country": "XK",
"normalized": "163 Gëzim Hamza, Rahovec, XK",
"simplified": "163 Gëzim Hamza, Rahovec"
,
"building_name": "佐藤農林有限会社"
} |
287 | 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": "... | Jashari XK Gëzim 12 Vushtrri Ferrari SPA | {
"house_number": "12",
"street": "Gëzim Jashari",
"city": "Vushtrri",
"country": "XK",
"normalized": "12 Gëzim Jashari, Vushtrri, XK",
"simplified": "12 Gëzim Jashari, Vushtrri"
,
"building_name": "Ferrari SPA"
} |
288 | 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>",
"c... | Qiriazi Gjerasim XK Prishtinë 40 فصيل LLC | {
"house_number": "40",
"street": "Gjerasim Qiriazi",
"city": "Prishtinë",
"country": "XK",
"normalized": "40 Gjerasim Qiriazi, Prishtinë, XK",
"simplified": "40 Gjerasim Qiriazi, Prishtinë"
,
"building_name": "فصيل LLC"
} |
289 | 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>",
"ci... | 43 Gjergj lBalsha Prushtinë XK 株式会社伊藤銀行 | {
"house_number": "43",
"street": "Gjergj Balsha",
"city": "Prishtinë",
"country": "XK",
"normalized": "43 Gjergj Balsha, Prishtinë, XK",
"simplified": "43 Gjergj Balsha, Prishtinë"
,
"building_name": "株式会社伊藤銀行"
} |
290 | 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>",
"ci... | 47q Gjddgj aFishta Binçë XK Soluciones Roldan y asociados S.A. | {
"house_number": "47",
"street": "Gjergj Fishta",
"city": "Binçë",
"country": "XK",
"normalized": "47 Gjergj Fishta, Binçë, XK",
"simplified": "47 Gjergj Fishta, Binçë"
,
"building_name": "Soluciones Roldan y asociados S.A."
} |
291 | 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>",
"c... | XK XK Fishta Obikiq Gjdrgj 5 Milanesi, Magrassi e Sismondi s.r.l. | {
"house_number": "5",
"street": "Gjergj Fishta",
"city": "Obiliq",
"country": "XK",
"normalized": "5 Gjergj Fishta, Obiliq, XK",
"simplified": "5 Gjergj Fishta, Obiliq"
,
"building_name": "Milanesi, Magrassi e Sismondi s.r.l."
} |
292 | 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>",
"ci... | 2u Gjergjevucali Berivojcë XK المهنا, الجفالي and آل محمد بن علي بن جماز | {
"house_number": "2",
"street": "Gjergjevcali",
"city": "Berivojcë",
"country": "XK",
"normalized": "2 Gjergjevcali, Berivojcë, XK",
"simplified": "2 Gjergjevcali, Berivojcë"
,
"building_name": "المهنا, الجفالي and آل محمد بن علي بن جماز"
} |
293 | 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... | 22 Gjimnaziati586 Romajë XK Blackwell, Bailey and Gonzales | {
"house_number": "22",
"street": "Gjimnazisti",
"city": "Romajë",
"country": "XK",
"normalized": "22 Gjimnazisti, Romajë, XK",
"simplified": "22 Gjimnazisti, Romajë"
,
"building_name": "Blackwell, Bailey and Gonzales"
} |
294 | 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>",
"ci... | 169 Gjinolkët Gjilan XK Scott, Anderson and Oliver | {
"house_number": "169",
"street": "Gjinollët",
"city": "Gjilan",
"country": "XK",
"normalized": "169 Gjinollët, Gjilan, XK",
"simplified": "169 Gjinollët, Gjilan"
,
"building_name": "Scott, Anderson and Oliver"
} |
295 | 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... | 34 Gjon Buzuku Bardh I Votël XK 森農林合同会社 | {
"house_number": "34",
"street": "Gjon Buzuku",
"city": "Bardh I Vogël",
"country": "XK",
"normalized": "34 Gjon Buzuku, Bardh I Vogël, XK",
"simplified": "34 Gjon Buzuku, Bardh I Vogël"
,
"building_name": "森農林合同会社"
} |
296 | 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>",
"c... | Nikollë Gjoj Zym 41 Kazazi XK 高橋ガス合同会社 | {
"house_number": "41",
"street": "Gjon Nikollë Kazazi",
"city": "Zym",
"country": "XK",
"normalized": "41 Gjon Nikollë Kazazi, Zym, XK",
"simplified": "41 Gjon Nikollë Kazazi, Zym"
,
"building_name": "高橋ガス合同会社"
} |
297 | 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": "... | 49 Gjon Adreqi Prizren XK 中川建設合同会社 | {
"house_number": "49",
"street": "Gjon Sereqi",
"city": "Prizren",
"country": "XK",
"normalized": "49 Gjon Sereqi, Prizren, XK",
"simplified": "49 Gjon Sereqi, Prizren"
,
"building_name": "中川建設合同会社"
} |
298 | 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": "... | 1g7 Goran Namushë XyK 富罳传媒有限公司 | {
"house_number": "17",
"street": "Goran",
"city": "Mamushë",
"country": "XK",
"normalized": "17 Goran, Mamushë, XK",
"simplified": "17 Goran, Mamushë"
,
"building_name": "富罳传媒有限公司"
} |
299 | 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... | 41 Gornja C EMa Zlipotok XK Bragadin e figli | {
"house_number": "41",
"street": "Gornja C EMa",
"city": "Zlipotok",
"country": "XK",
"normalized": "41 Gornja C EMa, Zlipotok, XK",
"simplified": "41 Gornja C EMa, Zlipotok"
,
"building_name": "Bragadin e figli"
} |
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