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Commit 27850934 authored by Timm Lehmberg's avatar Timm Lehmberg
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{"result": "STEINERNE ZEUGEN DIGITAL is a long-term research project located in Bavaria and North Rhine-Westphalia, with headquarters in both Bamberg and Essen. It operates within the framework of the Academy Program.", "input": "\nYou are a helpful assistant responsible for generating a comprehensive summary of the data provided below.\nGiven one or two entities, and a list of descriptions, all related to the same entity or group of entities.\nPlease concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.\nIf the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.\nMake sure it is written in third person, and include the entity names so we have the full context.\n\n#######\n-Data-\nEntities: \"STEINERNE ZEUGEN DIGITAL\"\nDescription List: [\"Long-term project within the framework of the Academy Program\", \"Steinerne Zeugen digital is a research project located in Bavaria and North Rhine-Westphalia with its headquarters in Bamberg and Essen\"]\n#######\nOutput:\n", "parameters": {"model": "gpt-3.5-turbo", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 500, "n": 1}, "history": null}
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{"result": "Berlin is a city located in Germany and serves as the Bundesland where the project \"Antiquitatum Thesaurus\" is situated. Additionally, Berlin is also the location of the Erich Wolfgang Korngold Werkausgabe project and the project \"Commentaria in Aristotelem Graeca et Byzantina\".", "input": "\nYou are a helpful assistant responsible for generating a comprehensive summary of the data provided below.\nGiven one or two entities, and a list of descriptions, all related to the same entity or group of entities.\nPlease concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.\nIf the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.\nMake sure it is written in third person, and include the entity names so we have the full context.\n\n#######\n-Data-\nEntities: \"BERLIN\"\nDescription List: [\"Bundesland und Standort des Projektes \\\"Antiquitatum Thesaurus\\\"\", \"City where the Erich Wolfgang Korngold Werkausgabe project is located\", \"The project \\\"Commentaria in Aristotelem Graeca et Byzantina\\\" is located in Berlin\"]\n#######\nOutput:\n", "parameters": {"model": "gpt-3.5-turbo", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 500, "n": 1}, "history": null}
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{"result": "Steinerne Zeugen Digital is a project based in Bamberg, where its headquarters are also located.", "input": "\nYou are a helpful assistant responsible for generating a comprehensive summary of the data provided below.\nGiven one or two entities, and a list of descriptions, all related to the same entity or group of entities.\nPlease concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.\nIf the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.\nMake sure it is written in third person, and include the entity names so we have the full context.\n\n#######\n-Data-\nEntities: [\"STEINERNE ZEUGEN DIGITAL\", \"BAMBERG\"]\nDescription List: [\"The headquarters of Steinerne Zeugen digital is located in Bamberg\", \"The project \\\"Steinerne Zeugen digital\\\" is located in Bamberg\"]\n#######\nOutput:\n", "parameters": {"model": "gpt-3.5-turbo", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 500, "n": 1}, "history": null}
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{"result": "FRANKFURT A.M. is a city where the Erich Wolfgang Korngold Werkausgabe project and the project \"Robert Schumann's Poetische Welt\" are located.", "input": "\nYou are a helpful assistant responsible for generating a comprehensive summary of the data provided below.\nGiven one or two entities, and a list of descriptions, all related to the same entity or group of entities.\nPlease concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.\nIf the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.\nMake sure it is written in third person, and include the entity names so we have the full context.\n\n#######\n-Data-\nEntities: \"FRANKFURT A.M.\"\nDescription List: [\"City where the Erich Wolfgang Korngold Werkausgabe project is located\", \"City where the project \\\"Robert Schumann's Poetische Welt\\\" is located\"]\n#######\nOutput:\n", "parameters": {"model": "gpt-3.5-turbo", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 500, "n": 1}, "history": null}
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{"result": "The Bayerische Akademie der Wissenschaften is an academy actively involved in executing multiple projects. One of the projects they are working on is \"Die Formierung Europas durch Überwindung der Spaltung im 12. Jahrhundert\", which focuses on the formation of Europe by overcoming division in the 12th century. Additionally, they are also engaged in the project \"Steinerne Zeugen digital\", showcasing their commitment to digital initiatives. The academy demonstrates a dedication to research and collaboration in various fields.", "input": "\nYou are a helpful assistant responsible for generating a comprehensive summary of the data provided below.\nGiven one or two entities, and a list of descriptions, all related to the same entity or group of entities.\nPlease concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.\nIf the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.\nMake sure it is written in third person, and include the entity names so we have the full context.\n\n#######\n-Data-\nEntities: \"BAYERISCHE AKADEMIE DER WISSENSCHAFTEN\"\nDescription List: [\"Academy executing the project \\\"Die Formierung Europas durch Überwindung der Spaltung im 12. Jahrhundert\\\"\", \"Academy involved in executing the project \\\"Steinerne Zeugen digital\\\"\"]\n#######\nOutput:\n", "parameters": {"model": "gpt-3.5-turbo", "temperature": 0.0, "frequency_penalty": 0.0, "presence_penalty": 0.0, "top_p": 1.0, "max_tokens": 500, "n": 1}, "history": null}
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