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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "multi cap funds with large asset under management"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"multi cap funds\":[\"sebi_classification/equity_schemes/multi_cap_fund\"]},{\"funds\":[\"vehicle/funds\"]},{\"large asset under management\":[\"preference/high\",\"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": "give multi cap funds for retirement goal"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"multi cap funds\":[\"sebi_classification/equity_schemes/multi_cap_fund\"]},{\"funds\":[\"vehicle/funds\"]},{\"retirement goal\":[\"objective/retirement\"]},{\"retirement fund\":[\"sebi_classification/solution_oriented_schemes/retirement_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": "any multi cap fund with exposure to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"multi cap fund\":[\"sebi_classification/equity_schemes/multi_cap_fund\"]},{\"fund\":[\"vehicle/funds\"]},{\"energy sector\":[\"preference/high\",\"exposure/sector/energy\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me multi cap fund for long term capital appreciation"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"multi cap fund\":[\"sebi_classification/equity_schemes/multi_cap_fund\"]},{\"fund\":[\"vehicle/funds\"]},{\"long term capital appreciation\":[\"objective/long_term_capital_appreciation\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "multi cap funds that offer low risk"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"multi cap funds\":[\"sebi_classification/equity_schemes/multi_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": "best multi cap mutual funds by Franklin India"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"multi cap\":[\"sebi_classification/equity_schemes/multi_cap_fund\"]},{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"Franklin India\":[\"amc/Franklin India\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "multi cap funds with high allocation to consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]},{\"multi cap funds\":[\"sebi_classification/equity_schemes/multi_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 funds with midcap exposure and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"midcap exposure\":[\"preference/high\",\"attribute/style/size/midcap\"]},{\"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": "find funds with high relative volume trend"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high relative volume\":[\"preference/high\",\"attribute/technical/volume/relative_volume\"]},{\"high trend\":[\"preference/high\",\"attribute/technical/trend\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "looking for funds with high alpha and tech exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]},{\"tech exposure\":[\"preference/high\",\"exposure/sector/information_technology\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 telecommunication exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]},{\"telecommunication exposure\":[\"preference/high\",\"exposure/sector/communication_services/telecommunication_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high momentum exposure and annualized returns over 10%"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high momentum exposure\":[\"preference/high\",\"exposure/factor/momentum\"]},{\"annualized returns over 10%\":[\"preference/>10%\",\"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": "funds with high risk and technology exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high risk\":[\"preference/high\",\"attribute/technical/risk\"]},{\"technology exposure\":[\"preference/high\",\"exposure/sector/information_technology\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 annualized returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"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": "funds with high volatility exposure to tech sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high volatility\":[\"preference/high\",\"attribute/technical/risk/volatility\"]},{\"tech sector\":[\"preference/high\",\"exposure/sector/information_technology\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "what are the best largecap funds with financial exposures"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"largecap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"largecap funds\":[\"sebi_classification/equity_schemes/large_cap_fund\"]},{\"financial exposures\":[\"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": "best large cap funds with high credit rating"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"large cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"large cap funds\":[\"sebi_classification/equity_schemes/large_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": "funds focusing on real estate with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"real estate\":[\"preference/high\",\"exposure/sector/real_estate\"]},{\"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": "Find me low expense ratio index funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low expense ratio\":[\"preference/low\",\"attribute/cost/expense_ratio\"]},{\"index funds\":[\"sebi_classification/other/index_fund_etf\"]},{\"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": "best midcap funds with high cumulative returns"}, {"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\"]},{\"high cumulative returns\":[\"preference/high\",\"attribute/technical/returns/cumulative_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "looking for funds with high NAV in consumer services sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high NAV\":[\"preference/high\",\"attribute/technical/price/nav\"]},{\"consumer services sector\":[\"preference/high\",\"exposure/sector/consumer_discretionary/consumer_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me funds with high returns and consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"consumer discretionary exposure\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "what are the top funds with high beta"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"top\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"high beta\":[\"preference/high\",\"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": "Show me some funds with a high tracking error and focus on domestic financials."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high tracking error\":[\"preference/high\",\"attribute/technical/tracking_error\"]},{\"domestic\":[\"preference/high\",\"exposure/region/domestic\"]},{\"financials\":[\"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 inception length and health sector exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high inception length\":[\"preference/high\",\"attribute/track_record/inception/length\"]},{\"health sector\":[\"preference/high\",\"exposure/sector/health_care\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high risk and high drawdown"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high risk\":[\"preference/high\",\"attribute/technical/risk\"]},{\"high drawdown\":[\"preference/high\",\"attribute/technical/risk/drawdown\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high cumulative returns in healthcare"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high cumulative returns\":[\"preference/high\",\"attribute/technical/returns/cumulative_returns\"]},{\"healthcare\":[\"preference/high\",\"exposure/sector/health_care\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with low large cap with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"large cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"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": "best small-cap funds with high returns"}, {"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\"]},{\"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": "best funds with high trading volume this month"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"high trading volume this month\":[\"preference/high\",\"time/1M\",\"attribute/technical/volume\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Funds with high returns in healthcare"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"healthcare\":[\"preference/high\",\"exposure/sector/health_care\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high dividend yield from real estate sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high dividend yield\":[\"preference/high\",\"attribute/fundamental/yield/dividend\"]},{\"real estate sector\":[\"preference/high\",\"exposure/sector/real_estate\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high annualized returns and exposure to technology sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"technology sector\":[\"preference/high\",\"exposure/sector/information_technology\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 AUM in technology"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high AUM\":[\"preference/high\",\"attribute/technical/aum\"]},{\"technology\":[\"preference/high\",\"exposure/sector/information_technology\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 average volume and high trend"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high average volume\":[\"preference/high\",\"attribute/technical/volume/average_volume\"]},{\"high trend\":[\"preference/high\",\"attribute/technical/trend\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high returns in real estate"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"real estate\":[\"preference/high\",\"exposure/sector/real_estate\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high relative volume and technology exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high relative volume\":[\"preference/high\",\"attribute/technical/volume/relative_volume\"]},{\"technology exposure\":[\"preference/high\",\"exposure/sector/information_technology/software_and_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds that have a high inception date and invest in software companies"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high inception date\":[\"preference/high\",\"attribute/track_record/inception/date\"]},{\"software companies\":[\"preference/high\",\"exposure/sector/information_technology/software_and_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high market cap from international region"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high market cap\":[\"preference/high\",\"attribute/technical/market_cap\"]},{\"international region\":[\"preference/high\",\"exposure/region/international\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 energy stocks with low market cap"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"energy\":[\"preference/high\",\"exposure/sector/energy\"]},{\"stocks\":[\"vehicle/stock\"]},{\"low market cap\":[\"preference/low\",\"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": "suggest funds with high market cap exposure to healthcare"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high market cap\":[\"preference/high\",\"attribute/technical/market_cap\"]},{\"healthcare\":[\"preference/high\",\"exposure/sector/health_care\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high yield in consumer services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high yield\":[\"preference/high\",\"attribute/fundamental/yield\"]},{\"consumer services\":[\"preference/high\",\"exposure/sector/consumer_discretionary/consumer_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I want funds with high annualized returns in the last 3 years focused on tech equipment"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"time/3Y\",\"attribute/technical/returns/annualized_returns\"]},{\"tech equipment\":[\"preference/high\",\"exposure/sector/information_technology/technology_hardware_and_equipment\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "tech funds with high volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high volatility\":[\"preference/high\",\"attribute/technical/risk/volatility\"]},{\"tech\":[\"preference/high\",\"exposure/sector/information_technology\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 exposure in the tech sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high volatility\":[\"preference/high\",\"attribute/technical/risk/volatility\"]},{\"tech sector\":[\"preference/high\",\"exposure/sector/information_technology/technology_hardware_and_equipment\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 large and mid cap funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"large\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"mid cap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"large and mid cap funds\":[\"sebi_classification/equity_schemes/large_and_mid_cap_fund\"]},{\"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": "show me funds with high yield in the consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high yield\":[\"preference/high\",\"attribute/fundamental/yield\"]},{\"consumer discretionary sector\":[\"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 in tech hardware with high performance"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"tech hardware\":[\"preference/high\",\"exposure/sector/information_technology/technology_hardware_and_equipment\"]},{\"high performance\":[\"preference/high\",\"attribute/technical\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I want funds with high inception dates, focusing on domestic financial sectors."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high inception dates\":[\"preference/high\",\"attribute/track_record/inception/date\"]},{\"domestic\":[\"preference/high\",\"exposure/region/domestic\"]},{\"financial sectors\":[\"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 yield in banking sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high yield\":[\"preference/high\",\"attribute/fundamental/yield\"]},{\"banking sector\":[\"preference/high\",\"exposure/sector/financials/banks\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "mutual funds focused on information technology with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"information technology\":[\"preference/high\",\"exposure/sector/information_technology/technology_hardware_and_equipment\"]},{\"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": "best funds with high inception returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"high inception returns\":[\"preference/high\",\"time/ITD\",\"attribute/technical/returns/cummulative_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": "Can you suggest funds with a strong track record and high annualized returns in the last year?"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"strong track record\":[\"preference/high\",\"time/1Y\",\"attribute/track_record\"]},{\"high annualized returns\":[\"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": "find funds with a focus on banks and good performance"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"focus on banks\":[\"preference/high\",\"exposure/sector/financials/banks\"]},{\"good performance\":[\"preference/high\",\"attribute/technical/performance\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 over the last year and exposure to domestic financial sectors"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns over the last year\":[\"preference/high\",\"time/1Y\",\"attribute/technical/returns/annualized_returns\"]},{\"domestic\":[\"preference/high\",\"exposure/region/domestic\"]},{\"financial sectors\":[\"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": "best funds with high dividend yield"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"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": "suggest funds with high AUM and exposure to financial services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high AUM\":[\"preference/high\",\"attribute/technical/aum\"]},{\"financial services\":[\"preference/high\",\"exposure/sector/financials/financial_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds focusing on healthcare and utilities"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"healthcare\":[\"preference/high\",\"exposure/sector/health_care/health_care_equipment_and_services\"]},{\"utilities\":[\"preference/high\",\"exposure/sector/utilities/utilities\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "utilities sector funds with high returns in 1y"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"utilities sector\":[\"preference/high\",\"exposure/sector/utilities/utilities\"]},{\"high returns in 1y\":[\"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 funds with high AUM in healthcare"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high AUM\":[\"preference/high\",\"attribute/technical/aum\"]},{\"healthcare\":[\"preference/high\",\"exposure/sector/health_care/health_care_equipment_and_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Show me the best funds with low risk and high annualized returns."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"low risk\":[\"preference/low\",\"attribute/technical/risk\"]},{\"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 high-return funds with a focus on tech sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high-return\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"funds\":[\"vehicle/funds\"]},{\"tech sector\":[\"preference/high\",\"exposure/sector/information_technology/semiconductors_and_semiconductor_equipment\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 and return"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high risk\":[\"preference/high\",\"attribute/technical/risk\"]},{\"high return\":[\"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": "suggest funds in technology sector with high momentum"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"technology sector\":[\"preference/high\",\"exposure/sector/information_technology/semiconductors_and_semiconductor_equipment\"]},{\"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 funds with high annualized returns in domestic consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"domestic\":[\"preference/high\",\"exposure/region/domestic\"]},{\"consumer staples\":[\"preference/high\",\"exposure/sector/consumer_staples\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high performance in utilities"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high performance\":[\"preference/high\",\"attribute/technical\"]},{\"utilities\":[\"preference/high\",\"exposure/sector/utilities/utilities\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high returns and a focus on domestic markets"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"domestic markets\":[\"preference/high\",\"exposure/region/domestic\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Any funds focusing on large-cap and mid-cap with high returns?"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"large-cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"mid-cap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"large-cap and mid-cap\":[\"sebi_classification/equity_schemes/large_and_mid_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds focused on consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]},{\"funds focused on 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": "high-value funds in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high-value\":[\"preference/high\",\"attribute/style\"]},{\"funds\":[\"vehicle/funds\"]},{\"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": "best funds with high financial sector exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"high financial sector exposure\":[\"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": "show me funds with high volatility in tech sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high volatility\":[\"preference/high\",\"attribute/technical/risk/volatility\"]},{\"tech sector\":[\"preference/high\",\"exposure/sector/information_technology/semiconductors_and_semiconductor_equipment\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 focusing on domestic banks"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"domestic\":[\"preference/high\",\"exposure/region/domestic\"]},{\"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": "best small-cap funds with high growth potential"}, {"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\"]},{\"high growth potential\":[\"preference/high\",\"exposure/factor/growth\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high returns over 10% in banking sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns over 10%\":[\"preference/>10%\",\"attribute/technical/returns/annualized_returns\"]},{\"banking sector\":[\"preference/high\",\"exposure/sector/financials/banks\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with annualized returns above 10% and high exposure to banks"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"annualized returns\":[\"preference/>10%\",\"attribute/technical/returns/annualized_returns\"]},{\"high exposure to 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": "high-performing funds with exposure to utilities"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high-performing\":[\"preference/high\",\"attribute/technical\"]},{\"funds\":[\"vehicle/funds\"]},{\"exposure to utilities\":[\"preference/high\",\"exposure/sector/utilities/utilities\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best large and mid cap funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"large\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"mid cap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"large and mid cap funds\":[\"sebi_classification/equity_schemes/large_and_mid_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "mutual funds with high annualized returns in consumer durables"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"consumer durables\":[\"preference/high\",\"exposure/sector/consumer_discretionary/consumer_durables_and_apparel\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 return in consumer staples sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high return\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"consumer staples sector\":[\"preference/high\",\"exposure/sector/consumer_staples\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "what are the best funds with high volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"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": "I need a mutual fund with high returns over 10% in the consumer discretionary sector."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual fund\":[\"vehicle/funds/mutual_fund\"]},{\"high returns over 10%\":[\"preference/>10%\",\"attribute/technical/returns/annualized_returns\"]},{\"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 in the consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary sector\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]},{\"funds in the consumer discretionary sector\":[\"sebi_classification/equity_schemes/sectoral_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high returns in consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"consumer staples\":[\"preference/high\",\"exposure/sector/consumer_staples\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high returns and exposure to domestic energy sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"domestic\":[\"preference/high\",\"exposure/region/domestic\"]},{\"energy sector\":[\"preference/high\",\"exposure/sector/energy/energy\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high annualized returns and low volatility in international markets"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"international markets\":[\"preference/high\",\"exposure/region/international\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with a focus on market value and high financial services exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"market value\":[\"preference/high\",\"exposure/factor/market\"]},{\"financial services\":[\"preference/high\",\"exposure/sector/financials/financial_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me mutual funds with high annualized returns and significant exposure to international markets"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"significant exposure to international markets\":[\"preference/high\",\"exposure/region/international\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 debt funds focusing on short-term duration"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"debt\":[\"asset_type/debt/bonds/short_duration\"]},{\"funds\":[\"vehicle/funds\"]},{\"debt funds focusing on short-term duration\":[\"sebi_classification/debt_schemes/short_duration_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "best funds with high returns in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"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": "looking for funds with strong performance in the financials sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"strong performance\":[\"preference/high\",\"attribute/technical\"]},{\"financials sector\":[\"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 annualized returns in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high annualized returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"consumer discretionary sector\":[\"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": "show me large and mid-cap funds with high market exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"large\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"mid-cap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"large and mid-cap funds\":[\"sebi_classification/equity_schemes/large_and_mid_cap_fund\"]},{\"high market exposure\":[\"preference/high\",\"exposure/factor/market\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 technical returns and exposure to consumer discretionary sectors"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high technical returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"consumer discretionary sectors\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "i am looking for a domestic exposure and good returns pls give"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"domestic exposure\":[\"preference/high\",\"exposure/region/domestic\"]},{\"good 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 best performing funds with a focus on consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best performing\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary\":[\"preference/high\",\"exposure/sector/consumer_discretionary/consumer_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "suggest some large and mid-cap funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"large\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"mid-cap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"large and mid-cap funds\":[\"sebi_classification/equity_schemes/large_and_mid_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I want high-return consumer discretionary funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high-return\":[\"preference/high\",\"attribute/technical/returns\"]},{\"consumer discretionary\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]},{\"funds\":[\"vehicle/funds\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with high return potential in consumer sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high return potential\":[\"preference/high\",\"attribute/technical/returns/annualized_returns\"]},{\"consumer sector\":[\"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": "find mutual funds with high moving averages in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"high moving averages\":[\"preference/high\",\"attribute/technical/price/moving_average\"]},{\"consumer discretionary sector\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]}]}"}]
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