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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 me dividend yield mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"dividend yield mutual funds\": [\"sebi_classification/equity_schemes/dividend_yield_fund\"]}]}"}]
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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": "recommend equity funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"equity\": [\"asset_type/equity\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"equity funds\": [\"sebi_classification/equity_schemes\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "small cap funds with high volatility"}, {"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\"]}, {\"high volatility\": [\"preference/high\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "list funds with high dividend yields"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yields\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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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": "looking for large cap funds with annualised returns over 15%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"annualised returns\": [\"preference/>15%\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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": "funds with high dividend yield and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "best small cap funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"small cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"small cap funds\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "funds with good credit rating"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"good credit rating\": [\"preference/high\", \"attribute/fundamental/credit_rating\"]}]}"}]
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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": "funds with high credit rating"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high credit rating\": [\"preference/high\", \"attribute/fundamental/credit_rating\"]}]}"}]
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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": "large cap funds with more than 200% return"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"more than 200% return\": [\"preference/>200%\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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 me mid-cap funds with high credit rating"}, {"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\"]}, {\"high credit rating\": [\"preference/high\", \"attribute/fundamental/credit_rating\"]}]}"}]
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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": "high-yield mutual funds with low credit risk"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"high-yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"low credit risk\": [\"preference/low\", \"attribute/fundamental/credit_rating\"]}]}"}]
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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 me small cap funds with returns over 20%"}, {"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\"]}, {\"returns over 20%\": [\"preference/>20%\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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": "funds with high average volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high average volume\": [\"preference/high\", \"attribute/technical/volume/average_volume\"]}]}"}]
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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 me international equity funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"international\": [\"preference/high\", \"exposure/region/international\"]}, {\"equity\": [\"asset_type/equity\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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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": "looking for consumer discretionary funds with large cap"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"consumer discretionary\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}]}"}]
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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 me funds in the energy sector with high liquidity."}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"funds in the energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "find large duration debt funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large duration\": [\"attribute/track_record/inception/length\"]}, {\"debt\": [\"asset_type/debt\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large duration debt funds\": [\"sebi_classification/debt_schemes/long_duration_fund\"]}]}"}]
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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": "funds in high growth sectors"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high growth sectors\": [\"preference/high\", \"exposure/factor/growth\"]}]}"}]
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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": "I want funds with high inception length"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high inception length\": [\"preference/high\", \"attribute/track_record/inception/length\"]}]}"}]
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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": "funds with low NAV since inception"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low NAV since inception\": [\"preference/low\", \"time/ITD\", \"attribute/technical/price/nav\"]}]}"}]
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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 me some midcap funds with high cumulative returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"high cumulative returns\": [\"preference/high\", \"attribute/technical/returns/cumulative_returns\"]}]}"}]
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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": "large cap funds where NAV is above 100"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"NAV is above 100\": [\"preference/>100\", \"attribute/technical/price/nav\"]}]}"}]
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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": "utilities sector funds with moderate growth"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"utilities sector\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"moderate growth\": [\"preference/moderate\", \"exposure/factor/growth\"]}, {\"utilities sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 me funds with high cumulative returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high cumulative returns\": [\"preference/high\", \"attribute/technical/returns/cumulative_returns\"]}]}"}]
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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": "funds with high cumulative returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high cumulative returns\": [\"preference/high\", \"attribute/technical/returns/cumulative_returns\"]}]}"}]
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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 me mutual funds with mid cap focus and many assets under management"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"mid cap focus\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"many assets under management\": [\"preference/high\", \"attribute/technical/aum\"]}, {\"mid cap focus\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}]}"}]
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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": "best funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "top performing flexicap funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"top performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"flexicap funds\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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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 me funds with medium term duration"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"medium term duration\": [\"sebi_classification/debt_schemes/medium_duration_fund\"]}]}"}]
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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": "give me low-exit load funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low-exit load\": [\"preference/low\", \"attribute/cost/exit_load\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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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": "technology sector funds with high growth exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"technology sector\": [\"preference/high\", \"exposure/sector/information_technology/software_and_services\"]}, {\"high growth exposure\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"technology sector funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "funds with high NAV in the last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high NAV\": [\"preference/high\", \"time/1Y\", \"attribute/technical/price/nav\"]}]}"}]
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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": "funds with an inception date older than 10 years and high healthcare exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"inception date older than 10 years\": [\"preference/>10y\", \"attribute/track_record/inception/date\"]}, {\"high healthcare exposure\": [\"preference/high\", \"exposure/sector/health_care\"]}]}"}]
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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 me funds with low exit load focusing on communication services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low exit load\": [\"preference/low\", \"attribute/cost/exit_load\"]}, {\"communication services\": [\"preference/high\", \"exposure/sector/communication_services\"]}]}"}]
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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": "low tracking error funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"low tracking error\": [\"preference/low\", \"attribute/technical/tracking_error\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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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 me funds trending upwards in the last week"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"trending upwards in the last week\": [\"time/1W\", \"attribute/technical/trend/up_trend\"]}]}"}]
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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": "real estate funds with low drawdown"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"real estate\": [\"preference/high\", \"exposure/sector/real_estate\"]}, {\"real estate funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"low drawdown\": [\"preference/low\", \"attribute/technical/risk/drawdown\"]}]}"}]
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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": "I want funds with cumulative returns over 30% last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"cumulative returns over 30% last year\": [\"preference/>30%\", \"time/1Y\", \"attribute/technical/returns/cumulative_returns\"]}]}"}]
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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": "funds with midcap exposure and low trend"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"low trend\": [\"preference/low\", \"attribute/technical/trend\"]}]}"}]
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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": "funds showing technical up trends"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"technical up trends\": [\"attribute/technical/trend/up_trend\"]}]}"}]
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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": "I'm interested in funds with low drawdown and a focus on consumer staples."}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low drawdown\": [\"preference/low\", \"attribute/technical/risk/drawdown\"]}, {\"consumer staples\": [\"preference/high\", \"exposure/sector/consumer_staples\"]}]}"}]
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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": "Gilt funds with low drawdown"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"gilt funds\": [\"sebi_classification/debt_schemes/gilt_fund\"]}, {\"low drawdown\": [\"preference/low\", \"attribute/technical/risk/drawdown\"]}]}"}]
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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": "technology mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"technology\": [\"preference/high\", \"exposure/sector/information_technology/software_and_services\"]}, {\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"technology mutual funds\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "find funds with low exit load"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low exit load\": [\"preference/low\", \"attribute/cost/exit_load\"]}]}"}]
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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 me funds with a down trend"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"down trend\": [\"attribute/technical/trend/down_trend\"]}]}"}]
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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": "venture into utilities sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"utilities sector\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"venture into utilities sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}, {\"venture\": [\"vehicle/stock\"]}]}"}]
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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": "funds with an upward trend last month"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"upward trend last month\": [\"time/1M\", \"attribute/technical/trend/up_trend\"]}]}"}]
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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 me funds with low drawdown and high momentum in IT sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low drawdown\": [\"preference/low\", \"attribute/technical/risk/drawdown\"]}, {\"high momentum\": [\"preference/high\", \"attribute/technical/trend/up_trend\"]}, {\"IT sector\": [\"preference/high\", \"exposure/sector/information_technology/software_and_services\"]}, {\"funds in IT sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "funds with low exit load"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low exit load\": [\"preference/low\", \"attribute/cost/exit_load\"]}]}"}]
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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": "funds by SBI with average volume in downtrend"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"SBI\": [\"amc/SBI\"]}, {\"average volume\": [\"attribute/technical/volume/average_volume\"]}, {\"downtrend\": [\"attribute/technical/trend/down_trend\"]}]}"}]
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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": "find funds with a high vwap trend"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high vwap\": [\"preference/high\", \"attribute/technical/price/vwap\"]}]}"}]
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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": "funds with strong upward trends in the last month"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"strong upward trends\": [\"preference/high\", \"time/1M\", \"attribute/technical/trend/up_trend\"]}]}"}]
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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": "funds with high pharma exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high pharma exposure\": [\"preference/high\", \"exposure/sector/health_care/pharmaceuticals_biotechnology_and_life_sciences\"]}]}"}]
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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": "looking for funds with high average volume"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high average volume\": [\"preference/high\", \"attribute/technical/volume/average_volume\"]}]}"}]
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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": "List funds with returns greater than 50%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"returns greater than 50%\": [\"preference/>50%\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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": "funds with a high relative volume recently"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high relative volume\": [\"preference/high\", \"time/1W\", \"attribute/technical/volume/relative_volume\"]}]}"}]
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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": "funds with high volume and low expense ratio"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high volume\": [\"preference/high\", \"attribute/technical/volume\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost/expense_ratio\"]}]}"}]
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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": "funds trending down recently"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"trending down recently\": [\"time/1W\", \"attribute/technical/trend/down_trend\"]}]}"}]
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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": "funds focused on communication services"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"communication services\": [\"preference/high\", \"exposure/sector/communication_services\"]}, {\"funds focused on communication services\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "are there funds with a high relative trading volume?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high relative trading volume\": [\"preference/high\", \"attribute/technical/volume/relative_volume\"]}]}"}]
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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": "look for funds in downtrend recently"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"downtrend recently\": [\"time/1W\", \"attribute/technical/trend/down_trend\"]}]}"}]
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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": "large cap funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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 mutual funds with high large-cap exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high large-cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"large-cap exposure\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}]}"}]
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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": "funds focused on real estate sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"real estate sector\": [\"preference/high\", \"exposure/sector/real_estate\"]}, {\"funds focused on real estate sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 me mutual funds with high dividend yields"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"high dividend yields\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}]}"}]
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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": "funds with a good track record since 2010"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"track record since 2010\": [\"time/2010\", \"attribute/track_record/inception\"]}]}"}]
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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": "recommend funds with high consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high consumer discretionary exposure\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
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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": "funds with moving average prices"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"moving average prices\": [\"attribute/technical/price/moving_average\"]}]}"}]
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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 me banks sector exposure funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"banks sector\": [\"preference/high\", \"exposure/sector/financials/banks\"]}]}"}]
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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": "Find funds with a strong inception track record."}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"strong inception track record\": [\"preference/high\", \"attribute/track_record/inception\"]}]}"}]
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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": "I need a mutual fund with high yield and low risk"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual fund\": [\"vehicle/funds/mutual_fund\"]}, {\"high yield\": [\"preference/high\", \"attribute/fundamental/yield\"]}, {\"low risk\": [\"preference/low\", \"attribute/technical/risk\"]}]}"}]
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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": "find funds with high inception dates before 2010"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"inception dates before 2010\": [\"preference/high\", \"attribute/track_record/inception/date\"]}]}"}]
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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 funds with 5-year returns greater than 50%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"5-year returns\": [\"preference/>50%\", \"time/5Y\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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": "funds with recent high returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"recent high returns\": [\"preference/high\", \"time/1W\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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": "midcap funds with a high inception record"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"midcap\": [\"preference/high\", \"attribute/style/size/mid_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"midcap funds\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"high inception record\": [\"preference/high\", \"attribute/track_record/inception\"]}]}"}]
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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": "can I get details on equity funds from HDFC AMC with high credit exposure?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"equity\": [\"asset_type/equity\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"HDFC AMC\": [\"amc/HDFC\"]}, {\"high credit exposure\": [\"preference/high\", \"exposure/factor/credit\"]}]}"}]
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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": "recommend funds with high dividend yield in utilities"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high dividend yield\": [\"preference/high\", \"attribute/fundamental/yield/dividend\"]}, {\"utilities\": [\"preference/high\", \"exposure/sector/utilities\"]}, {\"funds with high dividend yield in utilities\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 me funds targeting high growth in domestic energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high growth\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"domestic\": [\"exposure/region/domestic\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}]}"}]
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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 me mid cap funds with high returns this year"}, {"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\"]}, {\"high returns this year\": [\"preference/high\", \"time/YTD\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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": "funds with high alpha and large cap exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high alpha\": [\"preference/high\", \"attribute/technical/returns/alpha\"]}, {\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"large cap exposure\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}]}"}]
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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": "suggest funds with high return potential in the consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high return potential\": [\"preference/high\", \"attribute/technical/returns/annualised_returns\"]}, {\"consumer discretionary sector\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}, {\"funds in the consumer discretionary sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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 me gold commodity funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"gold\": [\"asset_type/commodities/gold\"]}, {\"funds\": [\"vehicle/funds\"]}]}"}]
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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": "funds with high banking exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high banking exposure\": [\"preference/high\", \"exposure/sector/financials/banks\"]}]}"}]
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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": "which funds focus on domestic market?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"domestic market\": [\"preference/high\", \"exposure/region/domestic\"]}]}"}]
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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": "suggest funds with low expense ratio"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low expense ratio\": [\"preference/low\", \"attribute/cost\"]}]}"}]
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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 me funds focusing on real estate sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"real estate sector\": [\"preference/high\", \"exposure/sector/real_estate\"]}]}"}]
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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": "suggest funds focusing on utilities"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"utilities\": [\"preference/high\", \"exposure/sector/utilities/utilities\"]}]}"}]
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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": "eco-friendly funds focused on renewable energy"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"renewable energy\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"funds focused on renewable energy\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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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": "real estate invest??"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"real estate\": [\"preference/high\", \"exposure/sector/real_estate/real_estate_management_and_development\"]}, {\"invest\": [\"vehicle/funds\"]}]}"}]
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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": "funds with high moving average in the past month"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high moving average\": [\"preference/high\", \"time/1M\", \"attribute/technical/price/moving_average\"]}]}"}]
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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": "I want mutual funds in emerging markets with low volatility."}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"emerging markets\": [\"preference/high\", \"exposure/region/international\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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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": "which funds have a high return over the last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high return\": [\"preference/high\", \"time/1Y\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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": "mutual funds focusing on small-cap and energy sectors"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds/mutual_fund\"]}, {\"small-cap\": [\"preference/high\", \"attribute/style/size/small_cap\"]}, {\"small-cap\": [\"sebi_classification/equity_schemes/small_cap_fund\"]}, {\"energy sectors\": [\"preference/high\", \"exposure/sector/energy\"]}]}"}]
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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 me the top performing funds in nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"top performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}, {\"funds in nifty 50\": [\"sebi_classification/other/index_funds_etfs\"]}]}"}]
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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 me dynamic bond funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"dynamic bond funds\": [\"sebi_classification/debt_schemes/dynamic_bond\"]}]}"}]
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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 me funds with a focus on consumer discretionary sectors"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"consumer discretionary sectors\": [\"preference/high\", \"exposure/sector/consumer_discretionary\"]}]}"}]
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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": "Funds with high returns last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Funds\": [\"vehicle/funds\"]}, {\"high returns last year\": [\"preference/high\", \"time/1Y\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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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 me funds with high value exposure"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high value exposure\": [\"preference/high\", \"exposure/factor/value\"]}]}"}]
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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": "funds with high annualised returns in the last year"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"high annualised returns\": [\"preference/high\", \"time/1Y\", \"attribute/technical/returns/annualised_returns\"]}]}"}]
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