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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\"]},{\"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": "highly volatile small cap funds "}, {"from": "gpt", "value": "{\"llm_ner\":[{\"highly volatile\":[\"preference/high\",\"attribute/technical/risk/volatility\"]},{\"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 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\"]},{\"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 annualised returns from 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 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\"]},{\"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": "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 annualised returns"}, {"from": "gpt", "value": "{\"llm_ner\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualised returns\":[\"preference/high\",\"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": "pharma funds with high returns"}, {"from": "gpt", "value": "{\"llm_ner\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns\"]},{\"pharma\":[\"preference/high\",\"exposure/sector/health_care\"]},{\"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\"]}]}"}]
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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\"]},{\"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\"]},{\"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 annualised returns"}, {"from": "gpt", "value": "{\"llm_ner\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualised returns\":[\"preference/high\",\"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 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\"]}]}"}]
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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 annualised returns in health care"}, {"from": "gpt", "value": "{\"llm_ner\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualised returns\":[\"preference/high\",\"attribute/technical/returns/annualised_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\"]}]}"}]
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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\"]}]}"}]
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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 annualised returns"}, {"from": "gpt", "value": "{\"llm_ner\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualised returns\":[\"preference/high\",\"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": "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\"]}]}"}]
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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\"]}]}"}]
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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\"]}]}"}]
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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\"]}]}"}]
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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": "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 absolute 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\"]},{\"absolute returns more than 27.2% since inception\":[\"preference/>27.2%\",\"time/itd\",\"attribute/technical/returns/absolute_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\"]},{\"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\"]},{\"energy sector\":[\"preference/high\",\"exposure/sector/energy\"]},{\"energy 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 downtrend in nav"}, {"from": "gpt", "value": "{\"llm_ner\":[{\"funds\":[\"vehicle/funds\"]},{\"downtrend\":[\"attribute/technical/trend/down_trend\"]},{\"nav\":[\"attribute/technical/price/nav\"]}]}"}]
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