Datasets:
myfi
/
parser_dataset_ner_mini_v1.11

Dataset card Data Studio Files
xet
Community
conversations
stringlengths
528
1.43k
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Funds that hold IT stocks"}, {"from": "gpt", "value": "{\"llm_NER\": [\n {\n \"Funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"IT stocks\": [\n \"preference/high\",\n \"exposure/sector/information_technology\"\n ]\n }\n ]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with highest SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"highest SIP returns\":[\"preference/high\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with top 1m SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"top 1m SIP returns\":[\"preference/high\",\"time/1M\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with top 3m SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"top 3m SIP returns\":[\"preference/high\",\"time/3M\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with best YTD SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"best YTD SIP returns\":[\"preference/high\",\"time/YTD\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with best MTD SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"best MTD SIP returns\":[\"preference/high\",\"time/MTD\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with best QTD SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"best QTD SIP returns\":[\"preference/high\",\"time/QTD\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with top 7y SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"top 7y SIP returns\":[\"preference/high\",\"time/7Y\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with top 8y SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"top 8y SIP returns\":[\"preference/high\",\"time/8Y\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high SIP returns in the last 12 months"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high SIP returns in the last 12 months\":[\"preference/high\",\"time/1Y\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high SIP returns over the past 36 months"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high SIP returns over the past 36 months\":[\"preference/high\",\"time/3Y\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high SIP returns over the last 60 months"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high SIP returns over the last 60 months\":[\"preference/high\",\"time/5Y\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with best 15y SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"best 15y SIP returns\":[\"preference/high\",\"time/15Y\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high 9y SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high 9y SIP returns\":[\"preference/high\",\"time/9Y\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with top 20y SIP returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"top 20y SIP returns\":[\"preference/high\",\"time/20Y\",\"attribute/technical/returns/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Find funds with minimum SIP under \u20b9100"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"minimum SIP under \u20b9100\":[\"preference/<=100\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show funds that allow SIP from \u20b9200"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"SIP from \u20b9200\":[\"preference/<=200\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Funds with SIP up to \u20b9300 per month"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"SIP up to \u20b9300 per month\":[\"preference/<=300\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show low minimum SIP funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low minimum SIP\":[\"preference/low\",\"attribute/min_investment/sip\"]},{\"funds\":[\"vehicle/funds\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Find funds with SIP \u2264 \u20b9500"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"SIP \u2264 \u20b9500\":[\"preference/<=500\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Find me SBI funds that allow SIPs for \u20b9100"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"SBI\":[\"amc/SBI\"]},{\"funds\":[\"vehicle/funds\"]},{\"SIPs for \u20b9100\":[\"preference/<=100\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show HDFC funds with SIP under \u20b91,000"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"HDFC\":[\"amc/HDFC\"]},{\"funds\":[\"vehicle/funds\"]},{\"SIP under \u20b91,000\":[\"preference/<=1000\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "ICICI Prudential funds with minimum SIP \u2264 \u20b91,500 and expense ratio < 1%"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"ICICI Prudential\":[\"amc/ICICI_PRUDENTIAL\"]},{\"funds\":[\"vehicle/funds\"]},{\"minimum SIP \u2264 \u20b91,500\":[\"preference/<=1500\",\"attribute/min_investment/sip\"]},{\"expense ratio < 1%\":[\"preference/<1%\",\"attribute/cost/expense_ratio\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Axis funds with SIP from \u20b92,000"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Axis\":[\"amc/AXIS\"]},{\"funds\":[\"vehicle/funds\"]},{\"SIP from \u20b92,000\":[\"preference/<=2000\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Kotak funds suitable for SIPs under \u20b92,500/month"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Kotak\":[\"amc/KOTAK\"]},{\"funds\":[\"vehicle/funds\"]},{\"SIPs under \u20b92,500/month\":[\"preference/<=2500\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Funds with minimum SIP \u2264 \u20b93,000"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"minimum SIP \u2264 \u20b93,000\":[\"preference/<=3000\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Funds allowing SIP under \u20b95,000/month"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"SIP under \u20b95,000/month\":[\"preference/<=5000\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Find funds with minimum SIP \u2264 \u20b910,000"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"minimum SIP \u2264 \u20b910,000\":[\"preference/<=10000\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show micro SIP funds starting at \u20b950"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"micro SIP\":[\"preference/low\",\"attribute/min_investment/sip\"]},{\"funds\":[\"vehicle/funds\"]},{\"starting at \u20b950\":[\"preference/<=50\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "UTI funds with minimum SIP of \u20b9500 or less"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"UTI\":[\"amc/UTI\"]},{\"funds\":[\"vehicle/funds\"]},{\"minimum SIP of \u20b9500 or less\":[\"preference/<=500\",\"attribute/min_investment/sip\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show all funds managed by R Srinivasan"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"managed by R Srinivasan\":[\"attribute/portfolio_manager/R Srinivasan\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "List mid cap funds where Jinesh Gopani is the manager"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mid cap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"mid cap funds\":[\"sebi_classification/equity_schemes/mid_cap_fund\"]},{\"Jinesh Gopani is the manager\":[\"attribute/portfolio_manager/Jinesh Gopani\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Find ELSS funds managed by Pankaj Tibrewal"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"ELSS\":[\"tax/tax_saving\"]},{\"funds\":[\"vehicle/funds\"]},{\"ELSS funds\":[\"sebi_classification/equity_schemes/elss\"]},{\"managed by Pankaj Tibrewal\":[\"attribute/portfolio_manager/Pankaj Tibrewal\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show debt funds under Lakshmi Iyer"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"debt\":[\"asset_type/debt\"]},{\"funds\":[\"vehicle/funds\"]},{\"debt funds\":[\"sebi_classification/debt_schemes\"]},{\"Lakshmi Iyer\":[\"attribute/portfolio_manager/Lakshmi Iyer\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show SBI funds run by Dinesh Balachandran"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"SBI\":[\"amc/SBI\"]},{\"funds\":[\"vehicle/funds\"]},{\"run by Dinesh Balachandran\":[\"attribute/portfolio_manager/Dinesh Balachandran\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Top performing large & mid cap funds managed by Harsha Upadhyaya"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"top performing\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"large & mid cap funds\":[\"sebi_classification/equity_schemes/large_mid_cap_fund\"]},{\"managed by Harsha Upadhyaya\":[\"attribute/portfolio_manager/Harsha Upadhyaya\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which balanced advantage funds are managed by Sankaran Naren?"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"balanced advantage funds\":[\"sebi_classification/hybrid_schemes/dynamic_asset_allocation_balanced_advantage\"]},{\"funds\":[\"vehicle/funds\"]},{\"managed by Sankaran Naren\":[\"attribute/portfolio_manager/Sankaran Naren\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show UTI mutual funds where Vetri Subramaniam is the fund manager"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"UTI\":[\"amc/UTI\"]},{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"Vetri Subramaniam is the fund manager\":[\"attribute/portfolio_manager/Vetri Subramaniam\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "List small cap funds under Anupam Tiwari"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"small cap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"small cap funds\":[\"sebi_classification/equity_schemes/small_cap_fund\"]},{\"under Anupam Tiwari\":[\"attribute/portfolio_manager/Anupam Tiwari\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Find funds co-managed by Manish Banthia and Sankaran Naren"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"co-managed by Manish Banthia\":[\"attribute/portfolio_manager/Manish Banthia\"]},{\"co-managed by Sankaran Naren\":[\"attribute/portfolio_manager/Sankaran Naren\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show index funds managed by Chirag Setalvad"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"index funds\":[\"sebi_classification/passive_schemes/index_fund\"]},{\"funds\":[\"vehicle/funds\"]},{\"managed by Chirag Setalvad\":[\"attribute/portfolio_manager/Chirag Setalvad\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which sectoral banking funds are managed by Sailesh Raj Bhan?"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"sectoral/thematic\":[\"sebi_classification/equity_schemes/sectoral_thematic\"]},{\"banking\":[\"sector/banking\"]},{\"funds\":[\"vehicle/funds\"]},{\"managed by Sailesh Raj Bhan\":[\"attribute/portfolio_manager/Sailesh Raj Bhan\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show debt duration funds with Kaustubh Gupta as fund manager"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"debt duration funds\":[\"sebi_classification/debt_schemes/duration\"]},{\"funds\":[\"vehicle/funds\"]},{\"Kaustubh Gupta as fund manager\":[\"attribute/portfolio_manager/Kaustubh Gupta\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "List all funds managed by Mahesh Patil with AUM > \u20b95,000 cr"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"managed by Mahesh Patil\":[\"attribute/portfolio_manager/Mahesh Patil\"]},{\"AUM > \u20b95,000 cr\":[\"preference/>5000Cr\",\"attribute/style/size/aum\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which funds has Rajeev Thakkar managed for more than 5 years?"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"managed by Rajeev Thakkar\":[\"attribute/portfolio_manager/Rajeev Thakkar\"]},{\"for more than 5 years\":[\"time/>5Y\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high beta performance"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high beta\":[\"preference/high\",\"attribute/technical/beta\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with low NAV"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low NAV\":[\"preference/low\",\"attribute/technical/price/nav\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "mutual funds with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"high dividend yield\":[\"preference/high\",\"attribute/fundamental/yield/dividend\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show funds with low NAV"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low NAV\":[\"preference/low\",\"attribute/technical/price/nav\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "active funds in telecommunications sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"active funds\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"telecommunications sector\":[\"preference/high\",\"exposure/sector/communication_services/telecommunication_services\"]},{\"funds in telecommunications sector\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Top-performing active growth funds across flexi-cap and mid-cap categories with alpha > 2%"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"active growth\": [\"preference/high\", \"exposure/factor/growth\"]\n },\n {\n \"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]\n },\n {\n \"funds\": [\"vehicle/funds\"]\n },\n {\n \"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]\n },\n {\n \"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]\n },\n {\n \"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]\n }\n ]\n}\n"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best funds with high returns in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]},{\"consumer discretionary\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Compare index-tracking growth strategies vs active large-cap growth funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"index-tracking growth strategies\":[\"preference/high\",\"exposure/factor/growth\"]},{\"index-tracking\":[\"sebi_classification/other/index_funds_etfs\"]},{\"index-tracking\":[\"attribute/philosophy/passive\"]},{\"active\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"large-cap growth funds\":[\"sebi_classification/equity_schemes/large_cap_fund\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "find tech funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"tech\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds\":[\"vehicle/funds\"]},{\"tech funds\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Best performing stocks with double digit annual returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Best performing\":[\"preference/high\",\"attribute/technical/performance\"]},{\"stocks\":[\"vehicle/stock\"]},{\"double digit annual returns\":[\"preference/>10%\",\"attribute/technical/returns/annualised_returns\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me active funds exposed to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"active funds\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"energy sector\":[\"preference/high\",\"exposure/sector/energy\"]},{\"exposed to energy sector\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "active mutual funds with highest annualised return"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds\"]},{\"active mutual funds\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"highest annualised return\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best performing active funds in last 5 years"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best performing\":[\"preference/high\",\"time/5Y\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"active funds\":[\"preference/high\",\"attribute/philosophy/active\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "recommend active funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"active\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"funds\":[\"vehicle/funds\"]},{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "actively managed largecap funds that outperformed Nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"actively managed\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"largecap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"largecap funds\":[\"sebi_classification/equity_schemes/large_cap_fund\"]},{\"outperformed\":[\"preference/high\",\"attribute/technical/outperformance\"]},{\"Nifty 50\":[\"preference/high\",\"exposure/index/nifty_50\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "active large cap funds that outperformed Nifty 50 over 5 years with lower volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"active\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"large cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"large cap funds\":[\"sebi_classification/equity_schemes/large_cap_fund\"]},{\"outperformed over 5 years\":[\"preference/high\",\"time/5Y\",\"attribute/technical/outperformance\"]},{\"Nifty 50\":[\"preference/high\",\"exposure/index/nifty_50\"]},{\"lower volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me actively managed multi cap funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"actively managed\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"multi cap funds\":[\"sebi_classification/equity_schemes/multi_cap_fund\"]},{\"funds\":[\"vehicle/funds\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "active funds that outperformed Nifty 500 since inception with lower volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"active\":[\"preference/high\",\"attribute/philosophy/active\"]},{\"funds\":[\"vehicle/funds\"]},{\"outperformed since inception\":[\"preference/high\",\"time/itd\",\"attribute/technical/outperformance\"]},{\"Nifty 50\":[\"preference/high\",\"exposure/index/nifty_500\"]},{\"lower volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]}]}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "passive funds tracking Nifty 50"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"passive\": [\n \"preference/high\",\"attribute/philosophy/passive\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"Nifty 50\": [\n \"preference/high\",\n \"exposure/index/nifty_50\"\n ]\n },\n {\n \"tracking Nifty 50\": [\n \"preference/high\",\n \"exposure/index/nifty_50\"\n ]\n },\n {\n \"funds tracking Nifty 50\": [\n \"sebi_classification/other/index_funds_etfs\"\n ]\n }\n ]\n }"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "lowest expense passive funds in India"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"lowest expense\": [\n \"preference/low\",\n \"attribute/cost/expense_ratio\"\n ]\n },\n {\n \"passive\": [\n \"preference/high\",\"attribute/philosophy/passive\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n }"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "passive large cap funds with best 5-year return"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"passive\": [\n \"preference/high\",\"attribute/philosophy/passive\"\n ]\n },\n {\n \"large cap\": [\n \"preference/high\",\n \"attribute/style/size/large_cap\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"large cap funds\": [\n \"sebi_classification/equity_schemes/large_cap_fund\"\n ]\n },\n {\n \"best 5-year return\": [\n \"preference/high\",\n \"time/5Y\",\n \"attribute/technical/returns/annualized_returns\"\n ]\n }\n ]\n }"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "passive funds with highest AUM"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"passive\": [\n \"preference/high\",\"attribute/philosophy/passive\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"highest AUM\": [\n \"preference/high\",\n \"attribute/technical/aum\"\n ]\n }\n ]\n }"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "passive debt funds in India"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"passive\": [\n \"preference/high\",\"attribute/philosophy/passive\"\n ]\n },\n {\n \"debt funds\": [\n \"sebi_classification/debt_schemes\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n },\n {\n \"India\": [\n \"exposure/region/domestic/india\"\n ]\n }\n ]\n}"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "international passive index funds available in India"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"international\": [\n \"exposure/region/international\"\n ]\n },\n {\n \"passive\": [\n \"preference/high\",\"attribute/philosophy/passive\"\n ]\n },\n {\n \"index funds\": [\n \"sebi_classification/other/index_funds_etfs\"\n ]\n },\n {\n \"funds\": [\n \"vehicle/funds\"\n ]\n }\n ]\n}\n"}]
[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "passive small cap index funds volatility comparison"}, {"from": "gpt", "value": "{\n \"llm_NER\": [\n {\n \"small cap\": [\n \"preference/high\",\n \"attribute/style/size/small_cap\"\n ]\n },\n {\n \"index funds\": [\n \"sebi_classification/other/index_funds_etfs\"\n ]\n },\n {\n \"volatility\": [\n \"preference/low\",\n \"attribute/technical/risk/volatility\"\n ]\n }\n ]\n }"}]