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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 investing in consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer staples\":[\"preference/high\",\"exposure/sector/consumer_staples\"]},{\"funds investing in consumer staples\":[\"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 technology sector funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"technology sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"technology sector funds\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me equity funds with high returns in the energy sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"equity\":[\"asset_type/equity\"]},{\"funds\":[\"vehicle/funds\"]},{\"equity funds\":[\"sebi_classification/equity_schemes\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]},{\"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": "show semi conductor funds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"semi conductor\":[\"preference/high\",\"exposure/sector/information_technology/semiconductors_and_semiconductor_equipment\"]},{\"semi conductor funds\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]},{\"high 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": "funds with high dividends"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high dividends\":[\"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": "list funds focused on utilities sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"utilities sector\":[\"preference/high\",\"exposure/sector/utilities/utilities\"]},{\"funds focused on utilities 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": "low drawdown large-cap funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"large-cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"low drawdown\":[\"preference/low\",\"attribute/technical/risk/drawdown\"]},{\"funds\":[\"vehicle/funds\"]},{\"large-cap funds\":[\"sebi_classification/equity_schemes/large_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "large-cap funds focused on energy sector"}, {"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\"]},{\"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": "midcap funds with high alpha"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high alpha\":[\"preference/high\",\"attribute/technical/returns/alpha\"]},{\"midcap\":[\"preference/high\",\"attribute/style/size/mid_cap\"]},{\"funds\":[\"vehicle/funds\"]},{\"midcap funds\":[\"sebi_classification/equity_schemes/mid_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "small cap funds with recent drawdown under 10%"}, {"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\"]},{\"recent drawdown\":[\"preference/<10%\",\"time/1W\",\"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": "show me funds focusing on large cap with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"large cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"large cap funds\":[\"sebi_classification/equity_schemes/large_cap_fund\"]},{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me high return funds in large-cap"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high return\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]},{\"funds\":[\"vehicle/funds\"]},{\"large-cap\":[\"preference/high\",\"attribute/style/size/large_cap\"]},{\"funds in large-cap\":[\"sebi_classification/equity_schemes/large_cap_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "municipal bond funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"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 high fundamental value"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high fundamental value\":[\"preference/high\",\"attribute/fundamental\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 the last 1 year"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"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 in communication services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"communication services\":[\"preference/high\",\"exposure/sector/communication_services\"]},{\"funds in communication services\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "what are some 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": "which funds have low volatility and good track record"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"good track record\":[\"preference/high\",\"attribute/track_record\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 mutual funds with exposure to financial services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"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": "suggest good value funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"good value\":[\"preference/high\",\"exposure/factor/value\"]},{\"funds\":[\"vehicle/funds\"]},{\"value funds\":[\"sebi_classification/equity_schemes/value_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary sector\":[\"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 performing midcap funds in the last year"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"Best performing\":[\"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\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 historical price performance"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high historical price performance\":[\"preference/high\",\"attribute/technical/price\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 price and strong track record"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low price\":[\"preference/low\",\"attribute/technical/price\"]},{\"track record\":[\"attribute/track_record\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"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": "can you suggest funds with high exposure to consumer services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high exposure to 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": "low volatility funds for consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"funds\":[\"vehicle/funds\"]},{\"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 funds focusing on smallcap with high recent returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"smallcap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"smallcap funds\":[\"sebi_classification/equity_schemes/small_cap_fund\"]},{\"high recent returns\":[\"preference/high\",\"time/1W\",\"attribute/technical/returns/annualised_returns\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "high volatility funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high volatility\":[\"preference/high\",\"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": "Suggest some funds with low expense ratio in energy sector."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low expense ratio\":[\"preference/low\",\"attribute/cost/expense_ratio\"]},{\"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": "find midcap funds with high performance"}, {"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 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": "show me equity funds with high returns and exposure to international markets"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"equity\":[\"asset_type/equity\"]},{\"funds\":[\"vehicle/funds\"]},{\"equity funds\":[\"sebi_classification/equity_schemes\"]},{\"high returns\":[\"preference/high\",\"attribute/fundamental/yield\"]},{\"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": "best funds in consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"best\":[\"preference/high\",\"attribute/technical/performance\"]},{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary sector\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]},{\"funds in 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": "low volatility funds in tech sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"funds\":[\"vehicle/funds\"]},{\"tech sector\":[\"preference/high\",\"exposure/sector/information_technology\"]},{\"funds in 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": "energy sector funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"energy sector\":[\"preference/high\",\"exposure/sector/energy/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 high price volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high price 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": "recommend equity schemes with a focus on consumer services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"equity\":[\"asset_type/equity\"]},{\"schemes\":[\"vehicle/funds\"]},{\"equity schemes\":[\"sebi_classification/equity_schemes\"]},{\"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": "funds targeting consumer discretionary sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary 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": "looking for funds in the communication sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"communication sector\":[\"preference/high\",\"exposure/sector/communication_services\"]},{\"funds in the communication 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": "suggest funds with low volatility in tech sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low volatility\":[\"preference/low\",\"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": "show me some microcap funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"microcap\":[\"preference/high\",\"exposure/index/nifty_microcap_250\"]},{\"microcap funds\":[\"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 funds in large and mid cap category"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"large and mid cap category\":[\"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": "funds with exposure to information technology"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"information technology\":[\"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 exposure to infrastructure sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"infrastructure sector\":[\"preference/high\",\"exposure/sector/industrials/capital_goods\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 consumer staples sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer staples sector\":[\"preference/high\",\"exposure/sector/consumer_staples\"]},{\"funds in consumer staples 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 price growth"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high price growth\":[\"preference/high\",\"attribute/technical/price\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 healthcare funds with strong price performance"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"healthcare\":[\"preference/high\",\"exposure/sector/health_care\"]},{\"healthcare funds\":[\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]},{\"strong price performance\":[\"preference/high\",\"attribute/technical/price\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 equity funds focusing on utilities and having low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"equity\":[\"asset_type/equity\"]},{\"funds\":[\"vehicle/funds\"]},{\"utilities\":[\"preference/high\",\"exposure/sector/utilities/utilities\"]},{\"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": "in small cap funds with low expense ratios"}, {"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\"]},{\"low expense ratios\":[\"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": "silver commodity funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"silver\":[\"asset_type/commodities/silver\"]},{\"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": "Find me some high risk low cost small cap funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high risk\":[\"preference/high\",\"attribute/technical/risk\"]},{\"low cost\":[\"preference/low\",\"attribute/cost\"]},{\"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": "funds with high fundamental performance"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high fundamental performance\":[\"preference/high\",\"attribute/fundamental\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 returns in last year"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"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": "funds with high technical price"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high technical price\":[\"preference/high\",\"attribute/technical/price\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 exposure to the energy sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high exposure to the 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": "suggest funds with a focus on consumer staples"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer staples\":[\"preference/high\",\"exposure/sector/consumer_staples/consumer_staples_distribution_and_retail\"]},{\"funds with a focus on consumer staples\":[\"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 technical price analysis"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"technical price\":[\"attribute/technical/price\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "midcap funds with focus on financial services"}, {"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\"]},{\"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": "funds focused on media and entertainment"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"media and entertainment\":[\"preference/high\",\"exposure/sector/communication_services/media_and_entertainment\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 sector."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"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 with high exposure to Nifty 500"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high exposure to Nifty 500\":[\"preference/high\",\"exposure/index/nifty_500\"]},{\"funds with high exposure to Nifty 500\":[\"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": "funds with high exposure to consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high exposure to 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 focusing on consumer discretionary distribution"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary distribution\":[\"preference/high\",\"exposure/sector/consumer_discretionary/consumer_discretionary_distribution_and_retail\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 large and mid-cap category"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"large and mid-cap category\":[\"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 consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"high consumer discretionary exposure\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds with high returns focusing on small-cap"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]},{\"small-cap\":[\"preference/high\",\"exposure/factor/size\"]},{\"focusing on small-cap\":[\"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 debt funds with a strong credit exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"debt\":[\"asset_type/debt\"]},{\"funds\":[\"vehicle/funds\"]},{\"debt funds\":[\"sebi_classification/debt_schemes\"]},{\"strong credit exposure\":[\"preference/high\",\"exposure/factor/credit\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I need energy sector funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"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 focused on small-cap with high AUM"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"small-cap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"funds focused on small-cap\":[\"sebi_classification/equity_schemes/small_cap_fund\"]},{\"high AUM\":[\"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": "suggest funds focusing on silver investments"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"silver investments\":[\"asset_type/commodities/silver\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 funds focusing on household products"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"household products\":[\"preference/high\",\"exposure/sector/consumer_staples/household_and_personal_products\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 expense ratio in small-cap"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"low expense ratio\":[\"preference/low\",\"attribute/cost/expense_ratio\"]},{\"small-cap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"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 funds focused on small cap with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"small cap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"small cap funds\":[\"sebi_classification/equity_schemes/small_cap_fund\"]},{\"high 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": "looking for high returns in small cap funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high returns\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]},{\"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": "funds focused on smallcap and low volatility"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"smallcap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"smallcap\":[\"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": "list 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": "Show me funds with a focus on consumer durables and apparel."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer durables and apparel\":[\"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": "recommend funds with a focus on consumer discretionary sectors"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary sectors\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "low-volatility insurance sector funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low-volatility\":[\"preference/low\",\"attribute/technical/risk/volatility\"]},{\"insurance sector\":[\"preference/high\",\"exposure/sector/financials/insurance\"]},{\"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 consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high consumer discretionary exposure\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me funds with holdings in communication services sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"communication services sector\":[\"preference/high\",\"exposure/sector/communication_services\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I want 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": "give me some funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"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 midcap funds with low risk"}, {"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\"]},{\"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": "suggest 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": "funds that focus on the insurance sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"insurance sector\":[\"preference/high\",\"exposure/sector/financials/insurance\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "funds focused on household and personal products"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"household and personal products\":[\"preference/high\",\"exposure/sector/consumer_staples/household_and_personal_products\"]},{\"funds focused on household and personal products\":[\"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 high dividend yield funds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high dividend yield\":[\"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 investing heavily in financial services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"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": "What's a good choice for investing in consumer discretionary retail sectors?"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"consumer discretionary retail sectors\":[\"preference/high\",\"exposure/sector/consumer_discretionary/consumer_discretionary_distribution_and_retail\"]},{\"investing\":[\"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 mutual funds focused on healthcare equipment and services"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"healthcare equipment and services\":[\"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": "looking for high return funds with low risk"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high return\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]},{\"funds\":[\"vehicle/funds\"]},{\"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": "show me funds with high household and personal products exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"household and personal products\":[\"preference/high\",\"exposure/sector/consumer_staples/household_and_personal_products\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "highlight funds with high exposure to the financial sector"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high exposure to the financial 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": "show me high-return mutual funds in nifty 500 index"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"high-return\":[\"preference/high\",\"attribute/technical/returns/annualised_returns\"]},{\"mutual funds\":[\"vehicle/funds/mutual_fund\"]},{\"nifty 500 index\":[\"preference/high\",\"exposure/index/nifty_500\"]},{\"mutual funds in nifty 500 index\":[\"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": "looking for funds with high consumer discretionary exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"high consumer discretionary exposure\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "ETFs with high small-cap exposure"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"ETFs\":[\"vehicle/funds/etf\"]},{\"high small-cap\":[\"preference/high\",\"attribute/style/size/small_cap\"]},{\"high small-cap exposure\":[\"preference/high\",\"exposure/index/nifty_smallcap_250\"]},{\"small-cap\":[\"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": "silver bonds with high returns"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"silver\":[\"asset_type/commodities/silver\"]},{\"bonds\":[\"vehicle/funds\"]},{\"high 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 funds focused on the consumer discretionary sector."}, {"from": "gpt", "value": "{\"llm_NER\":[{\"funds\":[\"vehicle/funds\"]},{\"consumer discretionary sector\":[\"preference/high\",\"exposure/sector/consumer_discretionary\"]},{\"funds focused on 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": "invest in low risk government bonds"}, {"from": "gpt", "value": "{\"llm_NER\":[{\"low risk\":[\"preference/low\",\"attribute/technical/risk\"]},{\"government bonds\":[\"asset_type/debt/bonds/government\"]}]}"}]
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