{"_id": {"$oid": "6aa7a68dbf5ce6c3c2c56d3c"}, "test_id": "T0165", "benchmark": "library_cards", "date": "2025-09-02", "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": "openai", "model": "gpt-5", "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": {"provider": "openai", "model": "gpt-5", "duration": 43.65862274169922, "timestamp": "2025-09-03T23:13:18.677464", "parsed": {"type": {"type": "Reference"}, "author": {"last_name": "Montaghemi", "first_name": "Nourhomadeh"}, "publication": {"title": "", "year": 0, "place": "", "pages": "", "publisher": "", "format": "", "reprint_note": ""}, "examination": {"place": "", "year": 0}, "library_reference": {"shelfmark": "", "publication_number": "", "subjects": ""}}, "text": "", "finish_reason": "stop"}, "scoring": {"f1_micro": 0.8972515856236787, "f1_macro": 0.8950570342205323, "micro_precision": 0.9166306695464362, "micro_recall": 0.8786749482401657, "total_instances": 263, "total_tp": 2122, "total_fp": 193, "total_fn": 293}, "pricing": null, "timing": {"total_response_s": 12744.7, "mean_response_s": 48.46, "slowest_response_s": 342.21, "inputs_timed": 263, "inputs_stored": 263, "span_s": 12702.86}, "normalized_score": 89.50570342205323}