{"_id": {"$oid": "6a8456c1ef0a19c343227dac"}, "test_id": "T1620", "benchmark": "library_cards", "date": "2026-08-18", "tags": {"document-type": ["index-card"], "writing": ["typed", "printed", "handwritten"], "century": [20, 19], "language": ["de", "fr", "en", "la", "el", "fi", "sv", "pl"], "layout": ["index"], "entry-type": ["bibliographic"], "task": ["information-extraction"]}, "contributors": ["gabriel_muller", "maximilian_hindermann"], "hidden": false, "config": {"provider": "openrouter", "model": "meta/muse-spark-1.2", "dataclass": "Document", "temperature": 0.0, "role_description": "You are a historian with keyword knowledge", "prompt_file": "prompt.txt", "legacy_test": false}, "prompt": "Extract the bibliographic information about a historical dissertation from this index card and return it as a structured JSON object with the following exact format:\n\n```json\n{\n  \"type\": {\n    \"type\": \"Dissertation or thesis\" OR \"Reference\"\n  },\n  \"author\": {\n    \"last_name\": \"string\",\n    \"first_name\": \"string\"\n  },\n  \"publication\": {\n    \"title\": \"string\",\n    \"year\": integer,\n    \"place\": \"string or empty string\",\n    \"pages\": \"string or empty string\",\n    \"publisher\": \"string or empty string\",\n    \"format\": \"string or empty string\"\n  },\n  \"library_reference\": {\n    \"shelfmark\": \"string or empty string\",\n    \"subjects\": \"string or empty string\"\n  }\n}\n```\n\nEXTRACTION RULES:\n1. **Card Type**: If a card contains the note \"s.\" on a separate line, it is a \"Reference\". Otherwise, it is a \"Dissertation or thesis\".\n\n2. **Author**: Extract last_name and first_name. If only one name is given, put it in last_name and leave first_name empty.\n\n3. **Publication**:\n   - title: The main title of the work\n   - year: Publication year as integer\n   - place: Publication place\n   - pages: Page count (remove \" S.\" suffix if present)\n   - publisher: Publishing house/institution\n   - format: Usually \"8\u00b0\", \"8'\", or \"4\u00b0\" - single value only\n\n4. **Library Reference**:\n   - shelfmark: Often begins with \"Diss.\" or \"AT\", may be marked with \"Standort:\"\n   - subjects: Subject classifications or keywords\n\n5. **Missing Information**: Use empty string \"\" for missing text fields, omit year fields entirely if not present.\n\n6. **Ignore**: Disregard any information that doesn't fit into these categories.\n\nReturn ONLY the JSON object, no additional text or explanation.", "results": {"text": "{\"type\":{\"type\":\"Dissertation or thesis\"},\"author\":{\"last_name\":\"Nave\",\"first_name\":\"Karl Heinz\"},\"publication\":{\"title\":\"Das Grundschulproblem, betrachtet im Zusammenhang mit der Entstehung der deutschen Grundschule nach der Novemberrevolution von 1918 und aus der Sichtweise der modernen anthropologischen Forschung. Eine schulpolit. Studie.\",\"year\":\"1959\",\"place\":\"o.O.\",\"pages\":\"359\",\"publisher\":\"\",\"format\":\"8'\",\"editor\":null},\"library_reference\":{\"shelfmark\":\"Diss.K\u00f6ln 1959\",\"subjects\":\"\"}}", "model": "meta/muse-spark-1.2", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 1901, "output_tokens": 1780, "total_tokens": 3681, "cached_tokens": 1137, "estimated_cost_usd": 0.009941249999999999, "input_cost_usd": 0.00237625, "output_cost_usd": 0.007565}, "duration": 246.6878457069397, "timestamp": "2026-08-18T11:59:37.760875", "parsed": {"type": {"type": "Dissertation or thesis"}, "author": {"last_name": "Nave", "first_name": "Karl Heinz"}, "publication": {"title": "Das Grundschulproblem, betrachtet im Zusammenhang mit der Entstehung der deutschen Grundschule nach der Novemberrevolution von 1918 und aus der Sichtweise der modernen anthropologischen Forschung. Eine schulpolit. Studie.", "year": "1959", "place": "o.O.", "pages": "359", "publisher": "", "format": "8'"}, "library_reference": {"shelfmark": "Diss.K\u00f6ln 1959", "subjects": ""}}, "conversation_id": "1570ff35-aee4-40fd-be21-caf07cbabd9c", "score": {"f1_score": 0.94, "precision": 0.8888888888888888, "recall": 1.0, "true_positives": 8, "false_positives": 1, "false_negatives": 0, "field_scores": {"author.first_name": {"response": "Karl Heinz", "ground_truth": "Karl Heinz", "score": 1.0}, "publication.editor": {"response": null, "ground_truth": null, "score": 1.0}, "publication.title": {"response": "Das Grundschulproblem, betrachtet im Zusammenhang mit der Entstehung der deutschen Grundschule nach der Novemberrevolution von 1918 und aus der Sichtweise der modernen anthropologischen Forschung. Eine schulpolit. Studie.", "ground_truth": "Das Grundschulproblem, betrachtet im Zusammenhang mit der Entstehung der deutschen Grundschule nach der Novemberrevolution von 1918 und aus der Sichtweise der modernen anthropologischen Forschung. Eine schulpolit.Studie", "score": 0.9954545454545455}, "publication.format": {"response": "8'", "ground_truth": "8'", "score": 1.0}, "library_reference.subjects": {"response": null, "ground_truth": null, "score": 1.0}, "type.type": {"response": "Dissertation or thesis", "ground_truth": "Dissertation or thesis", "score": 1.0}, "publication.place": {"response": "o.O.", "ground_truth": null, "score": 0.0}, "library_reference.shelfmark": {"response": "Diss.K\u00f6ln 1959", "ground_truth": "Diss.K\u00f6ln 1959", "score": 1.0}, "publication.pages": {"response": "359", "ground_truth": "359", "score": 1.0}, "publication.publisher": {"response": null, "ground_truth": null, "score": 1.0}, "author.last_name": {"response": "Nave", "ground_truth": "Nave", "score": 1.0}, "publication.year": {"response": "1959", "ground_truth": 1959, "score": 1.0}}, "total_fields": 12}, "raw_response": "{\"id\":\"gen-1787047158-RVZStZYsRmKcCUaE7l8I\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\\"type\\\":{\\\"type\\\":\\\"Dissertation or thesis\\\"},\\\"author\\\":{\\\"last_name\\\":\\\"Nave\\\",\\\"first_name\\\":\\\"Karl Heinz\\\"},\\\"publication\\\":{\\\"title\\\":\\\"Das Grundschulproblem, betrachtet im Zusammenhang mit der Entstehung der deutschen Grundschule nach der Novemberrevolution von 1918 und aus der Sichtweise der modernen anthropologischen Forschung. Eine schulpolit. Studie.\\\",\\\"year\\\":\\\"1959\\\",\\\"place\\\":\\\"o.O.\\\",\\\"pages\\\":\\\"359\\\",\\\"publisher\\\":\\\"\\\",\\\"format\\\":\\\"8'\\\"},\\\"library_reference\\\":{\\\"shelfmark\\\":\\\"Diss.K\u00f6ln 1959\\\",\\\"subjects\\\":\\\"\\\"}}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"reasoning\":null,\"reasoning_details\":[{\"type\":\"reasoning.encrypted\",\"data\":\"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.eyJlbmRwb2ludF9zbHVnIjoibWV0YS9tdXNlLXNwYXJrLTEuMi0yMDI2MDgwNXxtZXRhIn0\",\"format\":\"meta-responses-v1\",\"id\":\"rs_6a842cf8541895c70f434ec5:rs_01a0144faba87b3092faa3ed4cb79cf9\",\"index\":0}]},\"native_finish_reason\":\"completed\"}],\"created\":1787047158,\"model\":\"meta/muse-spark-1.2\",\"object\":\"chat.completion\",\"service_tier\":\"auto\",\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":1780,\"prompt_tokens\":1901,\"total_tokens\":3681,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":1660,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":1137,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.00869055,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.00869055,\"upstream_inference_prompt_cost\":0.00112555,\"upstream_inference_completions_cost\":0.007565}},\"provider\":\"Meta\"}"}, "scoring": {"f1_micro": 0.9030378693300042, "f1_macro": 0.8922900763358779, "micro_precision": 0.9045435598165903, "micro_recall": 0.9015371832156212, "total_instances": 262, "total_tp": 2170, "total_fp": 229, "total_fn": 237, "cost_summary": {"total_input_tokens": 489345, "total_output_tokens": 978951, "total_tokens": 1468296, "input_cost_usd": 0.6116812499999991, "output_cost_usd": 4.16054175, "total_cost_usd": 4.772223000000003}}, "normalized_score": 89.22900763358778}