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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Help me find show funds with low nav"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low NAV\": [\"preference/low\", \"attribute/technical/price/nav\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for better show funds with low nav"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low NAV\": [\"preference/low\", \"attribute/technical/price/nav\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for show funds with low nav to meet my goals"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low NAV\": [\"preference/low\", \"attribute/technical/price/nav\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "display funds with low NAV"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low NAV\": [\"preference/low\", \"attribute/technical/price/nav\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "As a conservative investor, show funds with low nav"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"low NAV\": [\"preference/low\", \"attribute/technical/price/nav\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which active funds in telecommunications sector are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications 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": "Can you recommend active funds in telecommunications sector?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications 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": "Please active funds in telecommunications sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications 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": "Help me find active funds in telecommunications sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications 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": "I want active funds in telecommunications sector that outperform"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications 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": "I need active funds in telecommunications sector because"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications 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": "actively managed funds in telecommunications sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications 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": "For long-term investment, active funds in telecommunications sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"telecommunications sector\": [\"preference/high\", \"exposure/sector/communication_services/telecommunication_services\"]}, {\"funds in telecommunications 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": "Which top-performing active growth funds across flexi-cap and mid-cap categories with alpha > 2% are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Can you recommend top-performing active growth funds across flexi-cap and mid-cap categories with alpha > 2%?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Alpha > 2% Top-performing active growth funds across flexi-cap and mid-cap categories"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Help me find top-performing active growth funds across flexi-cap and mid-cap categories with alpha > 2%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Need superior top-performing active growth funds across flexi-cap and mid-cap categories with alpha > 2%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I need top-performing active growth funds across flexi-cap and mid-cap categories with alpha > 2% because"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Top-performing active expansion-focused funds across flexi-cap and mid-cap categories with alpha > 2%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "mid-cap categories with alpha > 2% and Top-performing active growth funds across flexi-cap"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "top-performing active funds targeting growth across flexi-cap and mid-cap categories with alpha > 2%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "top-performing actively managed growth funds across flexi-cap and mid-cap categories with alpha > 2%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Given market conditions, top-performing active growth funds across flexi-cap and mid-cap categories with alpha > 2%"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active growth\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"active growth funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"flexi-cap\": [\"sebi_classification/equity_schemes/flexi_cap_fund\"]}, {\"mid-cap\": [\"sebi_classification/equity_schemes/mid_cap_fund\"]}, {\"alpha > 2%\": [\"preference/>2%\", \"attribute/technical/returns/alpha\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which best funds with high returns in consumer discretionary are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "Can you recommend 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/annualised_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": "High returns in consumer discretionary best funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "Help me find 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/annualised_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 better 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/annualised_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": "Seeking best funds with high returns in consumer discretionary for investment"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high returns\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "best funds with profitable funds in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"profitable funds\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "best funds with high yield in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high yield\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "best funds with superior alpha generations in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high alpha\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "best funds with superior risk-adjusted performance metricss in consumer discretionary"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"high performance\": [\"preference/high\", \"attribute/technical/returns/annualised_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": "For long-term investment, 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/annualised_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": "Which compare index-tracking growth strategies vs active large-cap growth funds are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "Can you recommend compare index-tracking growth strategies vs active large-cap growth funds?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "Please compare index-tracking growth strategies vs active large-cap growth funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "I want to see compare index-tracking growth strategies vs active large-cap growth funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "Looking for better compare index-tracking growth strategies vs active large-cap growth funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "I need compare index-tracking growth strategies vs active large-cap growth funds because"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "Compare index-tracking momentum strategies vs active large-cap momentum funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "compare index-tracking growth strategies vs active large-cap funds targeting growth"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "compare passive index-tracking-tracking growth strategies vs active large-cap growth funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "I'm risk-averse, so compare index-tracking growth strategies vs active large-cap growth funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"index-tracking growth strategies\": [\"preference/high\", \"exposure/factor/growth\"]}, {\"index-tracking\": [\"sebi_classification/other/index_funds_etfs\"]}, {\"index-tracking\": [\"attribute/philosophy/passive\"]}, {\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large-cap growth 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": "What about best performing stocks with double digit annual returns?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"stocks\": [\"vehicle/stock\"]}, {\"double digit annual returns\": [\"preference/>10%\", \"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": "Can you help with best performing stocks with double digit annual returns?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"stocks\": [\"vehicle/stock\"]}, {\"double digit annual returns\": [\"preference/>10%\", \"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": "Double digit annual returns Best performing stocks"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"stocks\": [\"vehicle/stock\"]}, {\"double digit annual returns\": [\"preference/>10%\", \"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": "Help me find best performing stocks with double digit annual returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"stocks\": [\"vehicle/stock\"]}, {\"double digit annual returns\": [\"preference/>10%\", \"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": "I want best performing stocks with double digit annual returns that outperform"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"stocks\": [\"vehicle/stock\"]}, {\"double digit annual returns\": [\"preference/>10%\", \"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": "I need best performing stocks with double digit annual returns because"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"stocks\": [\"vehicle/stock\"]}, {\"double digit annual returns\": [\"preference/>10%\", \"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": "top-performing performing stocks with double digit annual returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"stocks\": [\"vehicle/stock\"]}, {\"double digit annual returns\": [\"preference/>10%\", \"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": "As a conservative investor, best performing stocks with double digit annual returns"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"Best performing\": [\"preference/high\", \"attribute/technical/performance\"]}, {\"stocks\": [\"vehicle/stock\"]}, {\"double digit annual returns\": [\"preference/>10%\", \"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": "I want to see active funds exposed to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Display active funds exposed to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "What are the active funds exposed to energy sector?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Help me find active funds exposed to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I want active funds exposed to energy sector that outperform"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Looking for active funds exposed to energy sector to meet my goals"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "show me actively managed funds exposed to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "display me active funds exposed to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "please provide information on active funds exposed to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Given market conditions, show me active funds exposed to energy sector"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"energy sector\": [\"preference/high\", \"exposure/sector/energy\"]}, {\"exposed to energy sector\": [\"sebi_classification/equity_schemes/sectoral_/_thematic_fund\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which active mutual funds with highest annualised return are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"active mutual funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"highest annualised return\": [\"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": "Can you recommend active mutual funds with highest annualised return?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"active mutual funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"highest annualised return\": [\"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": "Highest annualised return active mutual funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"active mutual funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"highest annualised return\": [\"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": "Help me find active mutual funds with highest annualised return"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"active mutual funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"highest annualised return\": [\"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": "Need superior active mutual funds with highest annualised return"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"active mutual funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"highest annualised return\": [\"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": "I need active mutual funds with highest annualised return because"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"active mutual funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"highest annualised return\": [\"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": "actively managed mutual funds with highest annualised return"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"active mutual funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"highest annualised return\": [\"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": "For long-term investment, active mutual funds with highest annualised return"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"mutual funds\": [\"vehicle/funds\"]}, {\"active mutual funds\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"highest annualised return\": [\"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": "Which best performing active funds in last 5 years are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 recommend best performing active funds in last 5 years?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Please best performing active funds in last 5 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 the best performing active funds in last 5 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 better best performing active funds in last 5 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Seeking best performing active funds in last 5 years for investment"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 actively managed funds in last 5 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "top-performing performing active funds in last 5 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I'm risk-averse, so best performing active funds in last 5 years"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"best performing\": [\"preference/high\", \"time/5Y\", \"attribute/technical/performance\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"active funds\": [\"preference/high\", \"attribute/philosophy/active\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 active funds with low volatility?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which active funds with low volatility are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Low volatility recommend active funds"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Help me find active funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Need superior active funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Seeking active funds with low volatility for investment"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "recommend actively managed funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "recommend active funds with minimal standard deviation characteristics"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I'm risk-averse, so recommend active funds with low volatility"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"low volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Which actively managed largecap funds that outperformed nifty 50 are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 recommend actively managed largecap funds that outperformed nifty 50?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Please actively managed largecap funds that outperformed nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "Please display actively managed largecap funds that outperformed nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 better actively managed largecap funds that outperformed nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 actively managed largecap funds that outperformed nifty 50 to meet my goals"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "actively managed largecap funds that superiored Nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "actively managedly managed largecap funds that outperformed nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\n{\n \"llm_NER\": [\n {\"<phrase_1>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n {\"<phrase_2>\": [\"<tag_1>\", \"<tag_2>\", ...]},\n ...\n ]\n}"}, {"from": "human", "value": "I'm risk-averse, so actively managed largecap funds that outperformed nifty 50"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"actively managed\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"largecap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"largecap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed\": [\"preference/high\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}]}"}]
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[{"from": "system", "value": "You are an expert Financial Named Entity Recognition (NER) system. Your task is to analyze financial queries and extract relevant information into a structured format.\n## Output Format\nReturn a single object in the following structure:\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 active large cap funds that outperformed nifty 50 over 5 years with lower volatility are available?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed over 5 years\": [\"preference/high\", \"time/5Y\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}, {\"lower 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": "Can you recommend active large cap funds that outperformed nifty 50 over 5 years with lower volatility?"}, {"from": "gpt", "value": "{\"llm_NER\": [{\"active\": [\"preference/high\", \"attribute/philosophy/active\"]}, {\"large cap\": [\"preference/high\", \"attribute/style/size/large_cap\"]}, {\"funds\": [\"vehicle/funds\"]}, {\"large cap funds\": [\"sebi_classification/equity_schemes/large_cap_fund\"]}, {\"outperformed over 5 years\": [\"preference/high\", \"time/5Y\", \"attribute/technical/outperformance\"]}, {\"Nifty 50\": [\"preference/high\", \"exposure/index/nifty_50\"]}, {\"lower volatility\": [\"preference/low\", \"attribute/technical/risk/volatility\"]}]}"}]
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