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myfi
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parser_dataset_ner_mini_v1.18

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[{"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 }"}]
[{"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": "government bonds with 10 year constant duration funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"government bonds\": [\"asset_type/debt/bonds/government\"]}, {\"10 year constant duration funds\": [\"sebi_classification/debt_schemes/gilt_fund_with_10_year_constant_duration\"]}]}"}]
[{"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": "gsec funds with constant maturity"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"gsec funds with constant maturity\": [\"sebi_classification/debt_schemes/gilt_fund_with_10_year_constant_duration\"]}]}"}]
[{"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": "bond funds with 10 year maturity"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"bond funds with 10 year maturity\": [\"sebi_classification/debt_schemes/gilt_fund_with_10_year_constant_duration\"]}]}"}]
[{"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 mutual funds with US market exposure\n"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"US market exposure\": [\"preference/high\", \"exposure/region/international/usa\"]}]}"}]
[{"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 investing in American companies and stocks"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"American companies\": [\"preference/high\", \"exposure/region/international/usa\"]}, {\"stocks\": [\"asset_type/equity\"]}]}"}]
[{"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 US-focused international mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"US-focussed international\": [\"preference/high\", \"exposure/region/international/usa\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_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": "Show me China-focused mutual funds and funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"China-focused\": [\"preference/high\", \"exposure/region/international/china\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_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": "I want mutual funds with China equity exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"China equity exposure\": [\"preference/high\", \"exposure/region/international/china\"]}]}"}]
[{"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": "Japanese mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"Japanese\": [\"exposure/region/international/japan\"]}]}"}]
[{"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 investing in Japanese companies"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"investing in Japanese companies\": [\"preference/high\", \"exposure/region/international/japan\"]}]}"}]
[{"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 invest primarily in Japan?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"invest primarily in Japan\": [\"preference/high\", \"exposure/region/international/japan\"]}]}"}]
[{"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 buying british stocks"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"buying british stocks\": [\"preference/high\", \"exposure/region/international/britain\"]}]}"}]
[{"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 investing in uk"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"uk\": [\"exposure/region/international/uk\"]}]}"}]
[{"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": "South Korean funds investing in Korea\n"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"South Korean\": [\"preference/high\", \"exposure/region/international/south_korean\"]}]}"}]
[{"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": "I want Russia-focused debt funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"Russia\": [\"exposure/region/international/russia\"]}, {\"equity funds\": [\"sebi_classification/debt_schemes\"]}]}"}]
[{"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 investing in Brazil"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"investing in Brazil\": [\"preference/high\", \"exposure/region/international/usa\"]}]}"}]
[{"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 debt funds have a portfolio maturity greater than 5 years?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt\": [\"asset_type/debt\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"portfolio maturity greater than 5 years\": [\"preference/>5y\", \"attribute/fundamental/maturity\"]}]}"}]
[{"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 short-term debt schemes with average maturity less than 1 year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"short-term\": [\"objective/short_term_parking\"]}, {\"debt\": [\"asset_type/debt\"]}, {\"debt schemes\": [\"sebi_classification/debt_schemes\"]}, {\"average maturity less than 1 year\": [\"preference/<1\", \"attribute/fundamental/maturity\"]}]}"}]
[{"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": "I need ultra-long duration funds with maturity exceeding 15 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ultra-long duration funds\": [\"sebi_classification/debt_schemes/ultra_long_duration_fund\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"maturity exceeding 15 years\": [\"preference/>15Y\", \"attribute/fundamental/maturity\"]}]}"}]
[{"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 debt funds suitable for a 4-year investment horizon based on maturity"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt\": [\"asset_type/debt\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"suitable for a 4-year investment horizon\": [\"preference/high\" , \"attribute/fundamental/maturity\"]}]}"}]
[{"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 gilt funds with medium-term maturity of 3-5 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"gilt funds\": [\"sebi_classification/debt_schemes/gilt_fund\"]}, {\"medium-term maturity of 3-5 years\": [\"preference/>3y\" , \"attribute/fundamental/maturity\"]}]}"}]
[{"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 debt funds offer the highest duration for maximum interest rate sensitivity?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt\": [\"asset_type/debt\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"highest duration for maximum interest rate sensitivity\": [\"preference/high\", \"attribute/fundamental/modified_duration\"]}]}"}]
[{"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 high modified duration for falling interest rate scenarios"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high modified duration for falling interest rate scenarios\": [\"preference/high\", \"attribute/fundamental/modified_duration\"]}]}"}]
[{"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 debt funds with duration matching my 8-year investment timeline"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt\": [\"asset_type/debt\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"duration matching my 8-year investment timeline\": [\"preference/>8y\", \"attribute/fundamental/modified_duration\"]}]}"}]
[{"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 duration less than 6 years for moderate rate exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"duration less than 6 years\": [\"preference/<6y\", \"attribute/fundamental/modified_duration\"]}]}"}]
[{"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 debt funds exclusively invest in AAA and sovereign-rated securities?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt\": [\"asset_type/debt\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"AAA and sovereign-rated securities\": [\"preference/high\", \"attribute/seniority/investment_grade\"]}]}"}]
[{"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 conservative debt schemes holding only A-rated and above bonds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt schemes\": [\"sebi_classification/debt_schemes\"]}, {\"bonds\": [\"asset_type/debt/bonds\"]}, {\"holding only A-rated and above\": [\"preference/high\", \"attribute/seniority/investment_grade\"]}]}"}]
[{"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 at least 80% allocation to investment-grade instruments"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"funds with at least 80% allocation to investment-grade instruments\": [\"preference/>80%\", \"attribute/seniority/investment_grade\"]}]}"}]
[{"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 schemes that prioritize capital preservation through investment-grade exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"prioritize capital preservation\": [\"objective/capital_protection\"]}, {\"investment-grade\": [\"preference/high\", \"attribute/seniority/investment_grade\"]}]}"}]
[{"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 debt funds target high-yield corporate bonds with BB+ to B- ratings?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high-yield corporate bonds with BB+ to B-\": [\"preference/high\", \"attribute/seniority/junk_bonds\"]}]}"}]
[{"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 aggressive debt schemes investing in below-investment-grade securities"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"aggressive debt schemes\": [\"sebi_classification/debt_schemes/aggressive_fund\"]}, {\"investing in below-investment-grade securities\": [\"preference/high\", \"attribute/seniority/junk_bonds\"]}]}"}]
[{"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 that specialize in distressed debt and credit opportunities"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"distressed debt and credit opportunities\": [\"preference/high\", \"attribute/seniority/junk_bonds\"]}]}"}]
[{"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": "I want high-yield bond funds with significant sub-investment grade allocation"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high-yield bond funds\": [\"sebi_classification/debt_schemes\"]}, {\"significant sub-investment grade allocation\": [\"preference/high\", \"attribute/seniority/junk_bonds\"]}]}"}]
[{"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 debt schemes that invest in unrated or poorly-rated corporate bonds for higher returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt schemes\": [\"sebi_classification/debt_schemes\"]}, {\"unrated or poorly-rated corporate bonds\": [\"preference/high\", \"attribute/seniority/junk_bonds\"]}]}"}]
[{"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 debt fund to hold for 10 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt fund\": [\"sebi_classification/debt_schemes\"]}, {\"10 years\": [\"preference/>10y\", \"attribute/fundamental/maturity\"]}]}"}]
[{"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": "Debt funds for 5 year investment"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"5 year investment\": [\"preference/>5y\", \"attribute/fundamental/maturity\"]}]}"}]
[{"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": "debt funds with a 4 year time horizon"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"4 year time horizon\": [\"preference/>4y\", \"attribute/fundamental/maturity\"]}]}"}]
[{"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": "High quality debt mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"debt\": [\"asset_type/debt\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high quality\": [\"preference/high\", \"attribute/seniority/investment_grade\"]}]}"}]
[{"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": "AAA rated debt funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"AAA\": [\"preference/high\", \"attribute/seniority/investment_grade\"]}, {\"debt funds\": [\"sebi_classification/debt_schemes\"]}, {\"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": "All HDFC mutual fund schemes"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"HDFC mutual fund\": [\"amc/HDFC Mutual Fund\"]}, {\"mutual fund\": [\"vehicle/funds/mutual_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": "List SBI mutual fund options"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"SBI\": [\"amc/SBI\"]}, {\"mutual fund\": [\"vehicle/funds/mutual_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": "Show me ICICI Prudential funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ICICI Prudential\": [\"amc/ICICI Prudential\"]}, {\"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": "Axis Mutual Fund products"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Axis Mutual Fund\": [\"amc/Axis Mutual Fund\"]}, {\"mutual fund\": [\"vehicle/funds/mutual_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": "Kotak AMC fund list"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Kotak AMC\": [\"amc/Kotak AMC\"]}, {\"fund\": [\"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": "UTI Mutual Fund offerings"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"UTI Mutual Fund\": [\"amc/UTI Mutual Fund\"]}, {\"mutual fund\": [\"vehicle/funds/mutual_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": "Aditya Birla Sun Life schemes"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Aditya Birla Sun Life\": [\"amc/Aditya Birla Sun Life\"]}, {\"schemes\": [\"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": "Tata Asset Management funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Tata Asset Management\": [\"amc/Tata Asset Management\"]}, {\"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": "Nippon India AMC products"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Nippon India AMC\": [\"amc/Nippon India AMC\"]}, {\"products\": [\"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": "DSP Investment Managers funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"DSP Investment Managers\": [\"amc/DSP Investment Managers\"]}, {\"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": "All mutual fund products from Quantum Asset Management house"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual fund\": [\"vehicle/funds/mutual_fund\"]}, {\"Quantum Asset Management house\": [\"amc/Quantum Asset Management\"]}]}"}]
[{"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": "Complete scheme list from ITI Funds Management company"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"ITI Funds Management company\": [\"amc/ITI Funds Management company\"]}]}"}]