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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 dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high dividend yield\":[\"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": "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": "funds with high alpha and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]},{\"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 me funds with high returns and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"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": "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": "show me funds with high alpha and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]},{\"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 high risk-adjusted returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high risk-adjusted returns\":[\"preference/high\",\"attribute/technical/returns/risk_adjusted_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": "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": "show me mutual funds focused on telecom services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"telecom services\":[\"preference/high\",\"exposure/sector/communication_services/telecommunication_services\"]},{\"mutual funds focused on telecom 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": "low volatility funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"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 low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"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": "funds with high annualized returns from last year"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns from last year\":[\"preference/high\",\"time/1Y\",\"attribute/technical/returns/annualized_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 alpha returns focusing on IT sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]},{\"IT sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds focusing on 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": "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 annualized 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\"]},{\"annualized returns\":[\"preference/>15%\",\"attribute/technical/returns/annualized_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": "recommend funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"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": "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": "show me funds with high alpha"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]}]}"}]
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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 beta over the last year"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low beta\":[\"preference/low\",\"time/1Y\",\"attribute/technical/beta\"]}]}"}]
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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": "worst small cap funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"worst\":[\"preference/low\",\"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 high momentum exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high momentum exposure\":[\"preference/high\",\"exposure/factor/momentum\"]}]}"}]
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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 tech sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"tech sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds in the tech 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 funds with high alpha"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]}]}"}]
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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 volatility funds with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"funds\":[\"vehicle/funds\"]},{\"high momentum\":[\"preference/high\",\"exposure/factor/momentum\"]}]}"}]
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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 alpha funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]},{\"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 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 alpha"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]}]}"}]
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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 beta and small cap focus"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high beta\":[\"preference/high\",\"attribute/technical/beta\"]},{\"small cap focus\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"small cap focus\":[\"sebi_classification/equity_schemes/small_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 with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high dividend yield\":[\"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 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": "find funds with strong momentum"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"strong momentum\":[\"preference/high\",\"exposure/factor/momentum\"]}]}"}]
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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 dividend yield funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/fundamental/yield/dividend\"]},{\"funds\":[\"vehicle/funds\"]},{\"dividend yield 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": "high beta funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high beta\":[\"preference/high\",\"attribute/technical/beta\"]},{\"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 annualized returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_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": "pharma funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"pharma\":[\"preference/high\",\"exposure/sector/health_care/pharmaceuticals_biotechnology_and_life_sciences\"]},{\"pharma 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": "small cap funds"}, {"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\"]}]}"}]
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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 etfs"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"small cap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"etfs\":[\"vehicle/funds/etf\"]}]}"}]
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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 IT sector with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"IT sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds in IT sector\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]},{\"high momentum\":[\"preference/high\",\"exposure/factor/momentum\"]}]}"}]
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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/annualized_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": "debt funds with high credit rating"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"debt\":[\"asset_type/debt\"]},{\"debt funds\":[\"sebi_classification/debt_schemes\"]},{\"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": "show me high return tech funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high return\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"tech\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds\":[\"vehicle/funds\"]},{\"tech 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": "real estate funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"real estate\":[\"preference/high\",\"exposure/sector/real_estate\"]},{\"funds\":[\"vehicle/funds\"]},{\"real estate 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 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": "ETFs with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"ETFs\":[\"vehicle/funds/etf\"]},{\"high momentum\":[\"preference/high\",\"exposure/factor/momentum\"]}]}"}]
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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-risk funds in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low-risk\":[\"preference/low\",\"attribute/technical/risk\"]},{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]},{\"funds in consumer discretionary\":[\"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": "suggest funds with a high credit rating and exposure to Nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high credit rating\":[\"preference/high\",\"attribute/fundamental/credit_rating\"]},{\"exposure to Nifty 50\":[\"preference/high\",\"exposure/index/nifty_50\"]},{\"funds with a high credit rating and exposure to 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": "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": "high credit rating funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high credit rating\":[\"preference/high\",\"attribute/fundamental/credit_rating\"]},{\"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 mutual funds with over 25% exposure to FMCG"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"over 25% exposure to FMCG\":[\"preference/>25%\",\"exposure/sector/consumer_staples\"]},{\"mutual funds with over 25% exposure to FMCG\":[\"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 vwap"}, {"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": "suggest funds with high momentum exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high momentum exposure\":[\"preference/high\",\"exposure/factor/momentum\"]}]}"}]
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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 dividend yield funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"top\":[\"preference/high\",\"attribute/fundamental/yield/dividend\"]},{\"funds\":[\"vehicle/funds\"]},{\"dividend yield 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": "show me funds with high annualized returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_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 FMCG funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"FMCG\":[\"preference/high\",\"exposure/sector/consumer_staples\"]},{\"FMCG 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": "Help me invest in FMCG"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"FMCG\":[\"preference/high\",\"exposure/sector/consumer_staples\"]},{\"invest in FMCG\":[\"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 low volatility and high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_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": "low risk mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low risk\":[\"preference/low\",\"attribute/technical/risk\"]},{\"mutual funds\":[\"vehicle/funds/mutual_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": "low-risk small cap funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low-risk\":[\"preference/low\",\"attribute/technical/risk\"]},{\"small cap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"small cap funds\":[\"sebi_classification/equity_schemes/small_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": "large-cap funds with low expense ratio"}, {"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 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 with high annualized returns in health care"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"health care\":[\"preference/high\",\"exposure/sector/health_care\"]},{\"funds in health care\":[\"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 volatility and high momentum exposure in IT sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"high momentum exposure\":[\"preference/high\",\"exposure/factor/momentum\"]},{\"IT sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds with high momentum exposure 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": "show me funds with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high momentum\":[\"preference/high\",\"exposure/factor/momentum\"]}]}"}]
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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 small-cap funds"}, {"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\"]}]}"}]
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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/annualized_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 low risk and high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low risk\":[\"preference/low\",\"attribute/technical/risk\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_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": "list funds with high annualized returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_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": "look for funds in the real estate sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"real estate sector\":[\"preference/high\",\"exposure/sector/real_estate\"]},{\"funds in the 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 funds with low expense ratio and exposure to technology sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low expense ratio\":[\"preference/low\",\"attribute/cost/expense_ratio\"]},{\"technology sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"exposure to technology 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 mutual funds with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds\"]},{\"high dividend yield\":[\"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": "show me midcap funds with high returns over 20%"}, {"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 returns over 20%\":[\"preference/>20%\",\"attribute/technical/returns/annualized_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": "recommend funds with low exit load and high credit rating"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low exit load\":[\"preference/low\",\"attribute/cost/exit_load\"]},{\"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": "show me 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": "looking for small-cap funds"}, {"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\"]}]}"}]
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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 low-risk municipal bond funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low-risk\":[\"preference/low\",\"attribute/technical/risk\"]},{\"municipal bond\":[\"asset_type/debt/bonds/psu/municipal_bonds\"]},{\"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 excellent past returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"excellent past returns\":[\"preference/high\",\"attribute/technical/returns/annualized_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 trend in information technology sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high trend\":[\"preference/high\",\"attribute/technical/trend\"]},{\"information technology sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds with high trend in information technology 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 funds exposed to technology sector with good dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"technology sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds exposed to technology sector\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]},{\"good dividend yield\":[\"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": "large cap funds with low risk"}, {"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 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": "small cap funds with high risk-adjusted returns"}, {"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 risk-adjusted returns\":[\"preference/high\",\"attribute/technical/returns/risk_adjusted_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": "I want funds focusing on large cap companies with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"large cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"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 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": "funds with a focus on banks"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"focus on banks\":[\"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": "funds with high market cap exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high market cap\":[\"preference/high\",\"attribute/technical/market_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": "find me funds heavily invested in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"heavily invested in consumer discretionary\":[\"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 volatility and low beta"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high volatility\":[\"preference/high\",\"attribute/technical/risk/volatility\"]},{\"low beta\":[\"preference/low\",\"attribute/technical/beta\"]}]}"}]
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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 volatility and high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_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": "utility funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"utility\":[\"preference/high\",\"exposure/sector/utilities\"]},{\"utility 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": "can I get ETFs focused on large-cap stocks"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"ETFs\":[\"vehicle/funds/etf\"]},{\"large-cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"ETFs focused on large-cap stocks\":[\"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": "can I get ETFs not focused on large-cap stocks"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"ETFs\":[\"vehicle/funds/etf\"]},{\"large-cap\":[\"preference/low\",\"attribute/style/size/large_cap\"]},{\"ETFs not focused on large-cap stocks\":[\"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 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 funds with high VWAP"}, {"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": "show me some funds with a good inception record"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"good inception record\":[\"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": "high growth mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high growth\":[\"preference/high\",\"exposure/factor/growth\"]},{\"mutual funds\":[\"vehicle/funds/mutual_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 midcap funds with AUM over 5000 crores"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"midcap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"midcap funds\":[\"sebi_classification/equity_schemes/mid_cap_fund\"]},{\"AUM over 5000 crores\":[\"preference/>5000cr\",\"attribute/technical/aum\"]}]}"}]
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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": "worst gilt funds with AUM less than 500 crores"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"worst\":[\"preference/low\",\"attribute/technical/performance\"]},{\"gilt funds\":[\"sebi_classification/debt_schemes/gilt_fund\"]},{\"funds\":[\"vehicle/funds\"]},{\"AUM less than 500 crores\":[\"preference/<500cr\",\"attribute/technical/aum\"]}]}"}]
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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 midcap funds with returns more than 27.2% since inception"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"midcap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"midcap funds\":[\"sebi_classification/equity_schemes/mid_cap_fund\"]},{\"returns more than 27.2% since inception\":[\"preference/>27.2%\",\"time/ITD\",\"attribute/technical/returns/annualized_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": "best smallcap funds with returns more than 12% since inception and AUM more than 25k crores"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"smallcap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"smallcap funds\":[\"sebi_classification/equity_schemes/mid_cap_fund\"]},{\"returns more than 12% since inception\":[\"preference/>12%\",\"time/ITD\",\"attribute/technical/returns/annualized_returns\"]},{\"AUM more than 25k crores\":[\"preference/>25000cr\",\"attribute/technical/aum\"]}]}"}]
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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": "equity best SBI Funds with aum more than 10000 crores"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"SBI Funds\":[\"vehicle/funds\"]},{\"equity\":[\"sebi_classification/equity_schemes\"]},{\"aum more than 10000 crores\":[\"preference/>10000cr\",\"attribute/technical/aum\"]}]}"}]
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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": "energy sector funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"energy sector\":[\"preference/high\",\"exposure/sector/energy\"]},{\"energy sector funds\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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