Unnamed: 0 int64 0 820k | system stringclasses 5
values | user stringlengths 16 308 | assistant stringlengths 79 1.36k ⌀ |
|---|---|---|---|
100 | 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 63 uAvdullqh Osmani Greikoc АО «Сысоева» | {
"house_number": "63",
"street": "Avdullah Osmani",
"city": "Greikoc",
"country": "XK",
"normalized": "63 Avdullah Osmani, Greikoc, XK",
"simplified": "63 Avdullah Osmani, Greikoc"
,
"building_name": "АО «Сысоева»"
} |
101 | 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": "... | 248 Avdyl Gafurr Luma Dubrava Vataj XK 西村通信有限会社 | {
"house_number": "248",
"street": "Avdyl Gafurr Luma",
"city": "Dubrava Vataj",
"country": "XK",
"normalized": "248 Avdyl Gafurr Luma, Dubrava Vataj, XK",
"simplified": "248 Avdyl Gafurr Luma, Dubrava Vataj"
,
"building_name": "西村通信有限会社"
} |
102 | 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": "... | 22 Avdyl Hasani Smolicë XK 橋本電気株式会社 | {
"house_number": "22",
"street": "Avdyl Hasani",
"city": "Smolicë",
"country": "XK",
"normalized": "22 Avdyl Hasani, Smolicë, XK",
"simplified": "22 Avdyl Hasani, Smolicë"
,
"building_name": "橋本電気株式会社"
} |
103 | 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... | 42 42 Avdyl Ouçi Suharekë XK آل رفيع-المهنا | {
"house_number": "42",
"street": "Avdyl Kuçi",
"city": "Suharekë",
"country": "XK",
"normalized": "42 Avdyl Kuçi, Suharekë, XK",
"simplified": "42 Avdyl Kuçi, Suharekë"
,
"building_name": "آل رفيع-المهنا"
} |
104 | 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... | 90 Abni Avdimetaj Wtrellc I Ulëg XK آل حسين, المهنا and العجلان | {
"house_number": "90",
"street": "Avni Avdimetaj",
"city": "Strellc I Ulët",
"country": "XK",
"normalized": "90 Avni Avdimetaj, Strellc I Ulët, XK",
"simplified": "90 Avni Avdimetaj, Strellc I Ulët"
,
"building_name": "آل حسين, المهنا and العجلان"
} |
105 | 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 Avni Klinaku Vushtrri XK 株式会社遠藤印刷 | {
"house_number": "5",
"street": "Avni Klinaku",
"city": "Vushtrri",
"country": "XK",
"normalized": "5 Avni Klinaku, Vushtrri, XK",
"simplified": "5 Avni Klinaku, Vushtrri"
,
"building_name": "株式会社遠藤印刷"
} |
106 | 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... | 2 Avbi Rrustemi Pejë XK Bush, Sharp and King | {
"house_number": "2",
"street": "Avni Rrustemi",
"city": "Pejë",
"country": "XK",
"normalized": "2 Avni Rrustemi, Pejë, XK",
"simplified": "2 Avni Rrustemi, Pejë"
,
"building_name": "Bush, Sharp and King"
} |
107 | 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... | 190 Azem Haidearzj Abri S Epëirme XK Servicios Hierro y asociados S.Com. | {
"house_number": "190",
"street": "Azem Hajdaraj",
"city": "Abri E Epërme",
"country": "XK",
"normalized": "190 Azem Hajdaraj, Abri E Epërme, XK",
"simplified": "190 Azem Hajdaraj, Abri E Epërme"
,
"building_name": "Servicios Hierro y asociados S.Com."
} |
108 | 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... | Gërlicë E XK Poshtme Azem Hoxha 33 Contreras-Jones | {
"house_number": "33",
"street": "Azem Hoxha",
"city": "Gërlicë E Poshtme",
"country": "XK",
"normalized": "33 Azem Hoxha, Gërlicë E Poshtme, XK",
"simplified": "33 Azem Hoxha, Gërlicë E Poshtme"
,
"building_name": "Contreras-Jones"
} |
109 | 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... | Privshtinë 1h7 Azem XK Jashanica 通际名联信息有限公司 | {
"house_number": "17",
"street": "Azem Jashanica",
"city": "Prishtinë",
"country": "XK",
"normalized": "17 Azem Jashanica, Prishtinë, XK",
"simplified": "17 Azem Jashanica, Prishtinë"
,
"building_name": "通际名联信息有限公司"
} |
110 | 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... | 155 Aziz728 Aziz728 Gashi Tupec XK Cundari, Cilea e Grassi SPA | {
"house_number": "155",
"street": "Aziz Gashi",
"city": "Tupec",
"country": "XK",
"normalized": "155 Aziz Gashi, Tupec, XK",
"simplified": "155 Aziz Gashi, Tupec"
,
"building_name": "Cundari, Cilea e Grassi SPA"
} |
111 | 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... | Haxhiu Bzfti Iabash 46 XK Зерно-трейд | {
"house_number": "46",
"street": "Bafti Haxhiu",
"city": "Kabash",
"country": "XK",
"normalized": "46 Bafti Haxhiu, Kabash, XK",
"simplified": "46 Bafti Haxhiu, Kabash"
,
"building_name": "Зерно-трейд"
} |
112 | 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": "... | 15 Bahru Cakaj Stanoc I Rpërme XbJ Hermanos Aguilera S.L.N.E | {
"house_number": "15",
"street": "Bahri Cakaj",
"city": "Stanoc I Epërme",
"country": "XK",
"normalized": "15 Bahri Cakaj, Stanoc I Epërme, XK",
"simplified": "15 Bahri Cakaj, Stanoc I Epërme"
,
"building_name": "Hermanos Aguilera S.L.N.E"
} |
113 | 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... | Gyajram Prishtinë 686 Bahtiri XK Luisina Viñas Ibarra S.A. | {
"house_number": "686",
"street": "Bajram Bahtiri",
"city": "Prishtinë",
"country": "XK",
"normalized": "686 Bajram Bahtiri, Prishtinë, XK",
"simplified": "686 Bajram Bahtiri, Prishtinë"
,
"building_name": "Luisina Viñas Ibarra S.A."
} |
114 | 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... | 195 Bajram Curri Gjakpva XK Little PLC | {
"house_number": "195",
"street": "Bajram Curri",
"city": "Gjakova",
"country": "XK",
"normalized": "195 Bajram Curri, Gjakova, XK",
"simplified": "195 Bajram Curri, Gjakova"
,
"building_name": "Little PLC"
} |
115 | 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": "... | Gsshi XK Banullë Bajram 332 الجفالي Ltd | {
"house_number": "332",
"street": "Bajram Gashi",
"city": "Banullë",
"country": "XK",
"normalized": "332 Bajram Gashi, Banullë, XK",
"simplified": "332 Bajram Gashi, Banullë"
,
"building_name": "الجفالي Ltd"
} |
116 | 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... | Vitomiricë HtadIv 73 Bajram217 XK Vidal Duran Tejedor S.C.P | {
"house_number": "73",
"street": "Bajram HadIc",
"city": "Vitomiricë",
"country": "XK",
"normalized": "73 Bajram HadIc, Vitomiricë, XK",
"simplified": "73 Bajram HadIc, Vitomiricë"
,
"building_name": "Vidal Duran Tejedor S.C.P"
} |
117 | 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... | I Bajram XK Nanuzi Lupç Epëfm 107 Graciano Sola Arnaiz S.A. | {
"house_number": "107",
"street": "Bajram Januzi",
"city": "Lupç I Epërm",
"country": "XK",
"normalized": "107 Bajram Januzi, Lupç I Epërm, XK",
"simplified": "107 Bajram Januzi, Lupç I Epërm"
,
"building_name": "Graciano Sola Arnaiz S.A."
} |
118 | 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... | 8 Bajram Kuliqo Çikatovë E Re XK Ceri, Prati e Pedersoli s.r.l. | {
"house_number": "8",
"street": "Bajram Kuliqi",
"city": "Çikatovë E Re",
"country": "XK",
"normalized": "8 Bajram Kuliqi, Çikatovë E Re, XK",
"simplified": "8 Bajram Kuliqi, Çikatovë E Re"
,
"building_name": "Ceri, Prati e Pedersoli s.r.l."
} |
119 | 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... | Prizren 85 Bajram XK Shalz الخرافي, الدباغ and الخرافي | {
"house_number": "85",
"street": "Bajram Shala",
"city": "Prizren",
"country": "XK",
"normalized": "85 Bajram Shala, Prizren, XK",
"simplified": "85 Bajram Shala, Prizren"
,
"building_name": "الخرافي, الدباغ and الخرافي"
} |
120 | 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... | 435j7x Bal Alija Pejë XK كانو-آل الشيخ | {
"house_number": "4",
"street": "Bal Alija",
"city": "Pejë",
"country": "XK",
"normalized": "4 Bal Alija, Pejë, XK",
"simplified": "4 Bal Alija, Pejë"
,
"building_name": "كانو-آل الشيخ"
} |
121 | 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 4 4 Manastiricë Balkansla 株式会社鈴木食品 | {
"house_number": "4",
"street": "Balkanska",
"city": "Manastiricë",
"country": "XK",
"normalized": "4 Balkanska, Manastiricë, XK",
"simplified": "4 Balkanska, Manastiricë"
,
"building_name": "株式会社鈴木食品"
} |
122 | 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... | date Oombëtar 1 Valli XK arrival Mazrek الحجار, العجلان and آل عايض | {
"house_number": "1",
"street": "Balli Kombëtar",
"city": "Mazrek",
"country": "XK",
"normalized": "1 Balli Kombëtar, Mazrek, XK",
"simplified": "1 Balli Kombëtar, Mazrek"
,
"building_name": "الحجار, العجلان and آل عايض"
} |
123 | 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... | 27 Baricka Gllogpc XK Armstrong Ltd | {
"house_number": "27",
"street": "Baricka",
"city": "Gllogoc",
"country": "XK",
"normalized": "27 Baricka, Gllogoc, XK",
"simplified": "27 Baricka, Gllogoc"
,
"building_name": "Armstrong Ltd"
} |
124 | 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... | 8 Bash,im Lwkuu Gllogoc XK Baresi e figli | {
"house_number": "8",
"street": "Bashkim Leku",
"city": "Gllogoc",
"country": "XK",
"normalized": "8 Bashkim Leku, Gllogoc, XK",
"simplified": "8 Bashkim Leku, Gllogoc"
,
"building_name": "Baresi e figli"
} |
125 | 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... | Rudicë p43 省份 省份 Mehmetaj XK305 overnight overnight Bashkim (shěngfèn) 株式会社鈴木食品 | {
"house_number": "43",
"street": "Bashkim Mehmetaj",
"city": "Rudicë",
"country": "XK",
"normalized": "43 Bashkim Mehmetaj, Rudicë, XK",
"simplified": "43 Bashkim Mehmetaj, Rudicë"
,
"building_name": "株式会社鈴木食品"
} |
126 | 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... | 2 Bashkimi Dushanovë XK 森保険合同会社 | {
"house_number": "2",
"street": "Bashkimi",
"city": "Dushanovë",
"country": "XK",
"normalized": "2 Bashkimi, Dushanovë, XK",
"simplified": "2 Bashkimi, Dushanovë"
,
"building_name": "森保険合同会社"
} |
127 | 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... | Bashiimi yXK Mitrovica 58 Kombëtar Iadanza, Ricci e Fantoni e figli | {
"house_number": "58",
"street": "Bashkimi Kombëtar",
"city": "Mitrovica",
"country": "XK",
"normalized": "58 Bashkimi Kombëtar, Mitrovica, XK",
"simplified": "58 Bashkimi Kombëtar, Mitrovica"
,
"building_name": "Iadanza, Ricci e Fantoni e figli"
} |
128 | 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... | Poashtme951 XK DHL Batalooni E 355 Bërnicë Atlantiku 兰金电子传媒有限公司 | {
"house_number": "355",
"street": "Batalioni Atlantiku",
"city": "Bërnicë E Poshtme",
"country": "XK",
"normalized": "355 Batalioni Atlantiku, Bërnicë E Poshtme, XK",
"simplified": "355 Batalioni Atlantiku, Bërnicë E Poshtme"
,
"building_name": "兰金电子传媒有限公司"
} |
129 | 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 XK Tretë Bataljoni I Gjobai301 67 Sonnino-Solari s.r.l. | {
"house_number": "67",
"street": "Bataljoni I Tretë",
"city": "Gjonaj",
"country": "XK",
"normalized": "67 Bataljoni I Tretë, Gjonaj, XK",
"simplified": "67 Bataljoni I Tretë, Gjonaj"
,
"building_name": "Sonnino-Solari s.r.l."
} |
130 | 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... | 1 Bedri Vazaj Yërstenik XK آل سعود, آل العسكري and آل مقطة | {
"house_number": "1",
"street": "Bedri Bazaj",
"city": "Tërstenik",
"country": "XK",
"normalized": "1 Bedri Bazaj, Tërstenik, XK",
"simplified": "1 Bedri Bazaj, Tërstenik"
,
"building_name": "آل سعود, آل العسكري and آل مقطة"
} |
131 | 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... | 23 Orllovuq Bedri Dedja Dedja XK Grupo Uría S.L. | {
"house_number": "23",
"street": "Bedri Dedja",
"city": "Orlloviq",
"country": "XK",
"normalized": "23 Bedri Dedja, Orlloviq, XK",
"simplified": "23 Bedri Dedja, Orlloviq"
,
"building_name": "Grupo Uría S.L."
} |
132 | 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... | 20 20 Behlul Behluli Mushtisht XK Surian e figli | {
"house_number": "20",
"street": "Behlul Behluli",
"city": "Mushtisht",
"country": "XK",
"normalized": "20 Behlul Behluli, Mushtisht, XK",
"simplified": "20 Behlul Behluli, Mushtisht"
,
"building_name": "Surian e figli"
} |
133 | 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": "... | 23 ZK Prishtijë Nerisua Bekim 株式会社木村運輸 | {
"house_number": "23",
"street": "Bekim Berisha",
"city": "Prishtinë",
"country": "XK",
"normalized": "23 Bekim Berisha, Prishtinë, XK",
"simplified": "23 Bekim Berisha, Prishtinë"
,
"building_name": "株式会社木村運輸"
} |
134 | 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": "... | 30 Prizren XK Bekik Fehmiu Pavanello, Fo e Littizzetto s.r.l. | {
"house_number": "30",
"street": "Bekim Fehmiu",
"city": "Prizren",
"country": "XK",
"normalized": "30 Bekim Fehmiu, Prizren, XK",
"simplified": "30 Bekim Fehmiu, Prizren"
,
"building_name": "Pavanello, Fo e Littizzetto s.r.l."
} |
135 | 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... | 107 Bekim282 Jahiri Slivobë Slivobë XK Henderson-Black | {
"house_number": "107",
"street": "Bekim Jahiri",
"city": "Slivovë",
"country": "XK",
"normalized": "107 Bekim Jahiri, Slivovë, XK",
"simplified": "107 Bekim Jahiri, Slivovë"
,
"building_name": "Henderson-Black"
} |
136 | 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": "... | Ferizaj Osmani Bekim 114 114 DK Botticelli-Mazzeo Group | {
"house_number": "114",
"street": "Bekim Osmani",
"city": "Ferizaj",
"country": "XK",
"normalized": "114 Bekim Osmani, Ferizaj, XK",
"simplified": "114 Bekim Osmani, Ferizaj"
,
"building_name": "Botticelli-Mazzeo Group"
} |
137 | 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 transit times Beqir Sefa Rogovë XK Carpio y Cornejo S.Coop. | {
"house_number": "22",
"street": "Beqir Sefa",
"city": "Rogovë",
"country": "XK",
"normalized": "22 Beqir Sefa, Rogovë, XK",
"simplified": "22 Beqir Sefa, Rogovë"
,
"building_name": "Carpio y Cornejo S.Coop."
} |
138 | 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": "... | Beqir SK Rogovë Srfa 8 8 آل خضير, مهنا and آل قصير | {
"house_number": "8",
"street": "Beqir Sefa",
"city": "Rogovë",
"country": "XK",
"normalized": "8 Beqir Sefa, Rogovë, XK",
"simplified": "8 Beqir Sefa, Rogovë"
,
"building_name": "آل خضير, مهنا and آل قصير"
} |
139 | 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": "... | bubble wrap 6 Gerjisha Graboc I Poshtëm XK Chapman, Moore and Owen | {
"house_number": "6",
"street": "Berisha",
"city": "Graboc I Poshtëm",
"country": "XK",
"normalized": "6 Berisha, Graboc I Poshtëm, XK",
"simplified": "6 Berisha, Graboc I Poshtëm"
,
"building_name": "Chapman, Moore and Owen"
} |
140 | 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... | 26 Besim Beka Janoc XK Moore, Garcia and Navarro | {
"house_number": "26",
"street": "Besim Beka",
"city": "Jahoc",
"country": "XK",
"normalized": "26 Besim Beka, Jahoc, XK",
"simplified": "26 Besim Beka, Jahoc"
,
"building_name": "Moore, Garcia and Navarro"
} |
141 | 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... | Gesim Opterisyë 282 XK Kabashi Владимиров и партнеры | {
"house_number": "282",
"street": "Besim Kabashi",
"city": "Opterushë",
"country": "XK",
"normalized": "282 Besim Kabashi, Opterushë, XK",
"simplified": "282 Besim Kabashi, Opterushë"
,
"building_name": "Владимиров и партнеры"
} |
142 | 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": "... | Gjilan Bezim 36 XK Mazrsku Claudio Ribas Alcalá S.L. | {
"house_number": "36",
"street": "Besim Mazreku",
"city": "Gjilan",
"country": "XK",
"normalized": "36 Besim Mazreku, Gjilan, XK",
"simplified": "36 Besim Mazreku, Gjilan"
,
"building_name": "Claudio Ribas Alcalá S.L."
} |
143 | 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... | t56 Besnik Maroca Kamenifë XK Soluciones LG S.A. | {
"house_number": "56",
"street": "Besnik Maroca",
"city": "Kamenicë",
"country": "XK",
"normalized": "56 Besnik Maroca, Kamenicë, XK",
"simplified": "56 Besnik Maroca, Kamenicë"
,
"building_name": "Soluciones LG S.A."
} |
144 | 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... | 194o99 Besnik Përzhakj Stusençan XK Transportes Quesada S.A. | {
"house_number": "19",
"street": "Besnik Përzhaku",
"city": "Studençan",
"country": "XK",
"normalized": "19 Besnik Përzhaku, Studençan, XK",
"simplified": "19 Besnik Përzhaku, Studençan"
,
"building_name": "Transportes Quesada S.A."
} |
145 | 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": "... | 22 Beteja E Jeshkovës Prizreb XK Joseph-Turner | {
"house_number": "22",
"street": "Beteja E Jeshkovës",
"city": "Prizren",
"country": "XK",
"normalized": "22 Beteja E Jeshkovës, Prizren, XK",
"simplified": "22 Beteja E Jeshkovës, Prizren"
,
"building_name": "Joseph-Turner"
} |
146 | 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": "... | 46 Beteja Beteja E Kosharës Torinë XK ООО «Виноградова» | {
"house_number": "46",
"street": "Beteja E Kosharës",
"city": "Torinë",
"country": "XK",
"normalized": "46 Beteja E Kosharës, Torinë, XK",
"simplified": "46 Beteja E Kosharës, Torinë"
,
"building_name": "ООО «Виноградова»"
} |
147 | 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": "... | 83 Beteja E Kosharës Pejë XK Johnson-Williams | {
"house_number": "83",
"street": "Beteja E Kosharës",
"city": "Pejë",
"country": "XK",
"normalized": "83 Beteja E Kosharës, Pejë, XK",
"simplified": "83 Beteja E Kosharës, Pejë"
,
"building_name": "Johnson-Williams"
} |
148 | 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... | 6 Beteja E pMarsit Kramovik XK 时刻传媒有限公司 | {
"house_number": "6",
"street": "Beteja E Marsit",
"city": "Kramovik",
"country": "XK",
"normalized": "6 Beteja E Marsit, Kramovik, XK",
"simplified": "6 Beteja E Marsit, Kramovik"
,
"building_name": "时刻传媒有限公司"
} |
149 | 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... | 12 Bstwja S Prekazit Prekaz I Epërm XK Combi, Serraglio e Fantoni s.r.l. | {
"house_number": "12",
"street": "Beteja E Prekazit",
"city": "Prekaz I Epërm",
"country": "XK",
"normalized": "12 Beteja E Prekazit, Prekaz I Epërm, XK",
"simplified": "12 Beteja E Prekazit, Prekaz I Epërm"
,
"building_name": "Combi, Serraglio e Fantoni s.r.l."
} |
150 | 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... | Qafëd XK Pejë Beteja710 E 5994 Hajlës آل عطفة-الحكير | {
"house_number": "5",
"street": "Beteja E Qafë Hajlës",
"city": "Pejë",
"country": "XK",
"normalized": "5 Beteja E Qafë Hajlës, Pejë, XK",
"simplified": "5 Beteja E Qafë Hajlës, Pejë"
,
"building_name": "آل عطفة-الحكير"
} |
151 | 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... | 53h Bdteja XK Kazbash Kosharës Cortese Group | {
"house_number": "53",
"street": "Beteja Kosharës",
"city": "Kabash",
"country": "XK",
"normalized": "53 Beteja Kosharës, Kabash, XK",
"simplified": "53 Beteja Kosharës, Kabash"
,
"building_name": "Cortese Group"
} |
152 | 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... | Dilit E cross XK parcel Bijtë locker street 7 Brafash 田中水産有限会社 | {
"house_number": "7",
"street": "Bijtë E Dilit",
"city": "Bradash",
"country": "XK",
"normalized": "7 Bijtë E Dilit, Bradash, XK",
"simplified": "7 Bijtë E Dilit, Bradash"
,
"building_name": "田中水産有限会社"
} |
153 | 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": "... | 29 Bilall Snala oNgucat XK Цветков и партнеры | {
"house_number": "29",
"street": "Bilall Shala",
"city": "Ngucat",
"country": "XK",
"normalized": "29 Bilall Shala, Ngucat, XK",
"simplified": "29 Bilall Shala, Ngucat"
,
"building_name": "Цветков и партнеры"
} |
154 | 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... | 58 Bilol Klinton Pejë XK 联软网络有限公司 | {
"house_number": "58",
"street": "Bill Klinton",
"city": "Pejë",
"country": "XK",
"normalized": "58 Bill Klinton, Pejë, XK",
"simplified": "58 Bill Klinton, Pejë"
,
"building_name": "联软网络有限公司"
} |
155 | 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... | 10 Awllani Bislim Mihaliq XK Brown Ltd | {
"house_number": "10",
"street": "Bislim Asllani",
"city": "Mihaliq",
"country": "XK",
"normalized": "10 Bislim Asllani, Mihaliq, XK",
"simplified": "10 Bislim Asllani, Mihaliq"
,
"building_name": "Brown Ltd"
} |
156 | 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 14 Bivoljacka పంపకం Prelluzhë స్థితి آل معيض LLC | {
"house_number": "14",
"street": "Bivoljacka",
"city": "Prelluzhë",
"country": "XK",
"normalized": "14 Bivoljacka, Prelluzhë, XK",
"simplified": "14 Bivoljacka, Prelluzhë"
,
"building_name": "آل معيض LLC"
} |
157 | 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 Gjeshka Gjeshka страна Budakovë Budakovës XK 9 小林水産株式会社 | {
"house_number": "9",
"street": "Bjeshka E Budakovës",
"city": "Budakovë",
"country": "XK",
"normalized": "9 Bjeshka E Budakovës, Budakovë, XK",
"simplified": "9 Bjeshka E Budakovës, Budakovë"
,
"building_name": "小林水産株式会社"
} |
158 | 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... | 50 Blerim Lokaj Prils; CK 鈴木運輸有限会社 | {
"house_number": "50",
"street": "Blerim Lokaj",
"city": "Prilep",
"country": "XK",
"normalized": "50 Blerim Lokaj, Prilep, XK",
"simplified": "50 Blerim Lokaj, Prilep"
,
"building_name": "鈴木運輸有限会社"
} |
159 | 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... | Spahimu XK Koatërc Blerim 22i1 آل قصير and Sons | {
"house_number": "221",
"street": "Blerim Spahiu",
"city": "Kostërc",
"country": "XK",
"normalized": "221 Blerim Spahiu, Kostërc, XK",
"simplified": "221 Blerim Spahiu, Kostërc"
,
"building_name": "آل قصير and Sons"
} |
160 | 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 Bllakca XK Lebanë Lebanë Ortega, Jimenez and Erickson | {
"house_number": "21",
"street": "Bllaca",
"city": "Lebanë",
"country": "XK",
"normalized": "21 Bllaca, Lebanë, XK",
"simplified": "21 Bllaca, Lebanë"
,
"building_name": "Ortega, Jimenez and Erickson"
} |
161 | 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... | Bogdani aKorishë 38 XK 维涛传媒有限公司 | {
"house_number": "38",
"street": "Bogdani",
"city": "Korishë",
"country": "XK",
"normalized": "38 Bogdani, Korishë, XK",
"simplified": "38 Bogdani, Korishë"
,
"building_name": "维涛传媒有限公司"
} |
162 | 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... | 15 Brwhim Haxha Hercegbovë Hercegbovë XK XK 良诺科技有限公司 | {
"house_number": "15",
"street": "Brahim Haxha",
"city": "Hercegovë",
"country": "XK",
"normalized": "15 Brahim Haxha, Hercegovë, XK",
"simplified": "15 Brahim Haxha, Hercegovë"
,
"building_name": "良诺科技有限公司"
} |
163 | 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... | Braina 62 Nëntë ZK Iugociqë Morosini Group | {
"house_number": "62",
"street": "Braina",
"city": "Nëntë Jugoviqë",
"country": "XK",
"normalized": "62 Braina, Nëntë Jugoviqë, XK",
"simplified": "62 Braina, Nëntë Jugoviqë"
,
"building_name": "Morosini Group"
} |
164 | 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... | XK 24 BrsoAnska Gorazhdex 株式会社加藤食品 | {
"house_number": "24",
"street": "BreAnska",
"city": "Gorazhdec",
"country": "XK",
"normalized": "24 BreAnska, Gorazhdec, XK",
"simplified": "24 BreAnska, Gorazhdec"
,
"building_name": "株式会社加藤食品"
} |
165 | 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... | XK 도 Diellkt Bregub 16 Zaplluzhë I 飞利信传媒有限公司 | {
"house_number": "16",
"street": "Bregu I Diellit",
"city": "Zaplluzhë",
"country": "XK",
"normalized": "16 Bregu I Diellit, Zaplluzhë, XK",
"simplified": "16 Bregu I Diellit, Zaplluzhë"
,
"building_name": "飞利信传媒有限公司"
} |
166 | 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... | Disllif I Bregu Zaplluzhë 30 XI Cameron-Rodriguez | {
"house_number": "30",
"street": "Bregu I Diellit",
"city": "Zaplluzhë",
"country": "XK",
"normalized": "30 Bregu I Diellit, Zaplluzhë, XK",
"simplified": "30 Bregu I Diellit, Zaplluzhë"
,
"building_name": "Cameron-Rodriguez"
} |
167 | 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 Bregu I352 Fzaengut Bllacë XK Longhena, Rossini e Argentero SPA | {
"house_number": "12",
"street": "Bregu I Fangut",
"city": "Bllacë",
"country": "XK",
"normalized": "12 Bregu I Fangut, Bllacë, XK",
"simplified": "12 Bregu I Fangut, Bllacë"
,
"building_name": "Longhena, Rossini e Argentero SPA"
} |
168 | 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... | Brezojca 41n Vraniahtë XK 襄樊地球村传媒有限公司 | {
"house_number": "41",
"street": "Brezojca",
"city": "Vranishtë",
"country": "XK",
"normalized": "41 Brezojca, Vranishtë, XK",
"simplified": "41 Brezojca, Vranishtë"
,
"building_name": "襄樊地球村传媒有限公司"
} |
169 | 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... | 727 Brigadai949 123 codice postale Zuharekë DK Иркутская нефтяная компания | {
"house_number": "727",
"street": "Brigada 123",
"city": "Suharekë",
"country": "XK",
"normalized": "727 Brigada 123, Suharekë, XK",
"simplified": "727 Brigada 123, Suharekë"
,
"building_name": "Иркутская нефтяная компания"
} |
170 | 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... | 83 Brigada Kosovare Pehë XK Murphy, Richardson and Rivera | {
"house_number": "83",
"street": "Brigada Kosovare",
"city": "Pejë",
"country": "XK",
"normalized": "83 Brigada Kosovare, Pejë, XK",
"simplified": "83 Brigada Kosovare, Pejë"
,
"building_name": "Murphy, Richardson and Rivera"
} |
171 | 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... | 30 Lirisë XK Gtigjet Broboniq E أبا الخيل PLC | {
"house_number": "30",
"street": "Brigjet E Lirisë",
"city": "Broboniq",
"country": "XK",
"normalized": "30 Brigjet E Lirisë, Broboniq, XK",
"simplified": "30 Brigjet E Lirisë, Broboniq"
,
"building_name": "أبا الخيل PLC"
} |
172 | 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... | XK Hodonoc 32 Gujanoci НПО «Брагина» | {
"house_number": "32",
"street": "Bujanoci",
"city": "Hodonoc",
"country": "XK",
"normalized": "32 Bujanoci, Hodonoc, XK",
"simplified": "32 Bujanoci, Hodonoc"
,
"building_name": "НПО «Брагина»"
} |
173 | 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... | 116 Bujaria 99 Gumnasellë XK 凌颖信息网络有限公司 | {
"house_number": "116",
"street": "Bujaria 99",
"city": "Gumnasellë",
"country": "XK",
"normalized": "116 Bujaria 99, Gumnasellë, XK",
"simplified": "116 Bujaria 99, Gumnasellë"
,
"building_name": "凌颖信息网络有限公司"
} |
174 | 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... | 8 8 Bunjadj Prugkc XK Hoffman-Aguirre | {
"house_number": "8",
"street": "Bunjaj",
"city": "Prugoc",
"country": "XK",
"normalized": "8 Bunjaj, Prugoc, XK",
"simplified": "8 Bunjaj, Prugoc"
,
"building_name": "Hoffman-Aguirre"
} |
175 | 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... | Bursa XK Dimanishftë 119 Дон-Строй Инвест | {
"house_number": "119",
"street": "Bursa",
"city": "Rimanishtë",
"country": "XK",
"normalized": "119 Bursa, Rimanishtë, XK",
"simplified": "119 Bursa, Rimanishtë"
,
"building_name": "Дон-Строй Инвест"
} |
176 | 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... | Vranishtë XK C Alovcwi 70 Morandini SPA | {
"house_number": "70",
"street": "C Alovci",
"city": "Vranishtë",
"country": "XK",
"normalized": "70 C Alovci, Vranishtë, XK",
"simplified": "70 C Alovci, Vranishtë"
,
"building_name": "Morandini SPA"
} |
177 | 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... | 13 XK C O;cur Vranishtë Vranishtë 斉藤銀行有限会社 | {
"house_number": "13",
"street": "C Opur",
"city": "Vranishtë",
"country": "XK",
"normalized": "13 C Opur, Vranishtë, XK",
"simplified": "13 C Opur, Vranishtë"
,
"building_name": "斉藤銀行有限会社"
} |
178 | 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... | Maalo D Brod XK 47 Uc Ulj 佐々木鉱業有限会社 | {
"house_number": "47",
"street": "C Uc Ulj Maalo",
"city": "Brod",
"country": "XK",
"normalized": "47 C Uc Ulj Maalo, Brod, XK",
"simplified": "47 C Uc Ulj Maalo, Brod"
,
"building_name": "佐々木鉱業有限会社"
} |
179 | 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... | 9 Caburska Lasjan XK Тетерина и партнеры | {
"house_number": "9",
"street": "Caburska",
"city": "Pasjan",
"country": "XK",
"normalized": "9 Caburska, Pasjan, XK",
"simplified": "9 Caburska, Pasjan"
,
"building_name": "Тетерина и партнеры"
} |
180 | 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... | 32 Çkadraku Godand شہر (shahar) I Epërm XK Cicilia, Niggli e Ferrari Group | {
"house_number": "32",
"street": "Çadraku",
"city": "Godanc I Epërm",
"country": "XK",
"normalized": "32 Çadraku, Godanc I Epërm, XK",
"simplified": "32 Çadraku, Godanc I Epërm"
,
"building_name": "Cicilia, Niggli e Ferrari Group"
} |
181 | 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... | a19 Çamëria Deçan SK Hines and Sons | {
"house_number": "19",
"street": "Çamëria",
"city": "Deçan",
"country": "XK",
"normalized": "19 Çamëria, Deçan, XK",
"simplified": "19 Çamëria, Deçan"
,
"building_name": "Hines and Sons"
} |
182 | 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... | 4 Çvamët Dvotan XK Garcia PLC | {
"house_number": "4",
"street": "Çamët",
"city": "Dvoran",
"country": "XK",
"normalized": "4 Çamët, Dvoran, XK",
"simplified": "4 Çamët, Dvoran"
,
"building_name": "Garcia PLC"
} |
183 | 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... | 46 Can departure Ademlaj Bellopojë XK أبو داوود-حجار | {
"house_number": "46",
"street": "Can Ademaj",
"city": "Bellopojë",
"country": "XK",
"normalized": "46 Can Ademaj, Bellopojë, XK",
"simplified": "46 Can Ademaj, Bellopojë"
,
"building_name": "أبو داوود-حجار"
} |
184 | 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... | Prizren 67 Çanakkalr DK Lidia Palmer Mesa S.A. | {
"house_number": "67",
"street": "Çanakkale",
"city": "Prizren",
"country": "XK",
"normalized": "67 Çanakkale, Prizren, XK",
"simplified": "67 Çanakkale, Prizren"
,
"building_name": "Lidia Palmer Mesa S.A."
} |
185 | 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 XK Krasniqi Çeçile Prkshtinë 18 创联世纪传媒有限公司 | {
"house_number": "18",
"street": "Çeçile Krasniqi",
"city": "Prishtinë",
"country": "XK",
"normalized": "18 Çeçile Krasniqi, Prishtinë, XK",
"simplified": "18 Çeçile Krasniqi, Prishtinë"
,
"building_name": "创联世纪传媒有限公司"
} |
186 | 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... | 23 XK Cerxka Pasjan 七喜传媒有限公司 | {
"house_number": "23",
"street": "Cerska",
"city": "Pasjan",
"country": "XK",
"normalized": "23 Cerska, Pasjan, XK",
"simplified": "23 Cerska, Pasjan"
,
"building_name": "七喜传媒有限公司"
} |
187 | 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... | 114 Çlifimtaret Kopiliq I Posntëm XK Migliaccio, Grisoni e Bragadin s.r.l. | {
"house_number": "114",
"street": "Çlirimtaret",
"city": "Kopiliq I Poshtëm",
"country": "XK",
"normalized": "114 Çlirimtaret, Kopiliq I Poshtëm, XK",
"simplified": "114 Çlirimtaret, Kopiliq I Poshtëm"
,
"building_name": "Migliaccio, Grisoni e Bragadin s.r.l."
} |
188 | 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 141 Çlirimtzrët Drsboc Drsboc آل سلطان, الراشد and الجابر | {
"house_number": "141",
"street": "Çlirimtarët",
"city": "Drenoc",
"country": "XK",
"normalized": "141 Çlirimtarët, Drenoc, XK",
"simplified": "141 Çlirimtarët, Drenoc"
,
"building_name": "آل سلطان, الراشد and الجابر"
} |
189 | 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 Çlirimfarët Bujan 16 الحجار, آل الشيخ and فصيل | {
"house_number": "16",
"street": "Çlirimtarët",
"city": "Bujan",
"country": "XK",
"normalized": "16 Çlirimtarët, Bujan, XK",
"simplified": "16 Çlirimtarët, Bujan"
,
"building_name": "الحجار, آل الشيخ and فصيل"
} |
190 | 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 sPuetershticë 16 Çlirimtarër Green-Patrick | {
"house_number": "16",
"street": "Çlirimtarët",
"city": "Pjetershticë",
"country": "XK",
"normalized": "16 Çlirimtarët, Pjetershticë, XK",
"simplified": "16 Çlirimtarët, Pjetershticë"
,
"building_name": "Green-Patrick"
} |
191 | 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": "... | 11 Cucfë Measniqi35 Vranoc XK Stone, Johnston and Ramsey | {
"house_number": "11",
"street": "Cufë Krasniqi",
"city": "Vranoc",
"country": "XK",
"normalized": "11 Cufë Krasniqi, Vranoc, XK",
"simplified": "11 Cufë Krasniqi, Vranoc"
,
"building_name": "Stone, Johnston and Ramsey"
} |
192 | 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... | 154 Cumhuriyet Mamuahë XK آل سعود LLC | {
"house_number": "154",
"street": "Cumhuriyet",
"city": "Mamushë",
"country": "XK",
"normalized": "154 Cumhuriyet, Mamushë, XK",
"simplified": "154 Cumhuriyet, Mamushë"
,
"building_name": "آل سعود LLC"
} |
193 | 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... | I 32 Cureaj XK Epërk Sttellcy Sullivan, Ochoa and Riley | {
"house_number": "32",
"street": "Curraj",
"city": "Strellc I Epërm",
"country": "XK",
"normalized": "32 Curraj, Strellc I Epërm, XK",
"simplified": "32 Curraj, Strellc I Epërm"
,
"building_name": "Sullivan, Ochoa and Riley"
} |
194 | 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... | 483 Dardanoa Janjevë XK العليان and Sons | {
"house_number": "483",
"street": "Dardania",
"city": "Janjevë",
"country": "XK",
"normalized": "483 Dardania, Janjevë, XK",
"simplified": "483 Dardania, Janjevë"
,
"building_name": "العليان and Sons"
} |
195 | 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... | Xauti Ferizaj Ferizaj Daut XK 17 木村鉱業株式会社 | {
"house_number": "17",
"street": "Daut Dauti",
"city": "Ferizaj",
"country": "XK",
"normalized": "17 Daut Dauti, Ferizaj, XK",
"simplified": "17 Daut Dauti, Ferizaj"
,
"building_name": "木村鉱業株式会社"
} |
196 | 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": "... | Dejan Madhe Hoçë Vecevic E E 97 XK 株式会社岡田農林 | {
"house_number": "97",
"street": "Dejan Vecevic",
"city": "Hoçë E Madhe",
"country": "XK",
"normalized": "97 Dejan Vecevic, Hoçë E Madhe, XK",
"simplified": "97 Dejan Vecevic, Hoçë E Madhe"
,
"building_name": "株式会社岡田農林"
} |
197 | 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... | 18 Dsjati Skjevë XI Lee, Cooper and Parks | {
"house_number": "18",
"street": "Dejati",
"city": "Sojevë",
"country": "XK",
"normalized": "18 Dejati, Sojevë, XK",
"simplified": "18 Dejati, Sojevë"
,
"building_name": "Lee, Cooper and Parks"
} |
198 | 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... | 13 Demë Ahmeyi Zhabad I Poshtëm XK Manufacturas VD S.L. | {
"house_number": "13",
"street": "Demë Ahmeti",
"city": "Zhabar I Poshtëm",
"country": "XK",
"normalized": "13 Demë Ahmeti, Zhabar I Poshtëm, XK",
"simplified": "13 Demë Ahmeti, Zhabar I Poshtëm"
,
"building_name": "Manufacturas VD S.L."
} |
199 | 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": "... | 87 Demëw Jsufi Gorqzhdec XK Веселова Лтд | {
"house_number": "87",
"street": "Demë Isufi",
"city": "Gorazhdec",
"country": "XK",
"normalized": "87 Demë Isufi, Gorazhdec, XK",
"simplified": "87 Demë Isufi, Gorazhdec"
,
"building_name": "Веселова Лтд"
} |
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