{"_id": {"$oid": "6ab1687f1481417a2aae4c08"}, "test_id": "T0949", "benchmark": "library_cards", "date": "2026-04-21", "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": "qwen/qwen3.5-397b-a17b", "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\":\"Reference\"},\"author\":{\"last_name\":\"Montaghemi\",\"first_name\":\"Nourhomadeh\"},\"publication\":{\"title\":\"\",\"year\":\"\",\"place\":\"\",\"pages\":\"\",\"publisher\":\"\",\"format\":\"\",\"editor\":\"\"},\"library_reference\":{\"shelfmark\":\"\",\"subjects\":\"\"}}", "model": "qwen/qwen3.5-397b-a17b-20260216", "provider": "openrouter", "finish_reason": "stop", "usage": {"input_tokens": 1007, "output_tokens": 3521, "total_tokens": 4528, "input_cost_usd": 0.00039273000000000004, "output_cost_usd": 0.008239139999999999, "estimated_cost_usd": 0.00863187}, "duration": 31.28915786743164, "timestamp": "2026-04-21T14:40:22.789751", "parsed": {"type": {"type": "Reference"}, "author": {"last_name": "Montaghemi", "first_name": "Nourhomadeh"}, "publication": {"title": "", "year": "", "place": "", "pages": "", "publisher": "", "format": "", "editor": ""}, "library_reference": {"shelfmark": "", "subjects": ""}}, "conversation_id": "77f30f65-3b75-4046-9b82-7db008d06edd", "score": {"f1_score": 0.33, "precision": 0.3333333333333333, "recall": 0.3333333333333333, "true_positives": 1, "false_positives": 2, "false_negatives": 2, "field_scores": {"publication.year": {"response": null, "ground_truth": null, "score": 1.0}, "publication.editor": {"response": null, "ground_truth": null, "score": 1.0}, "publication.publisher": {"response": null, "ground_truth": null, "score": 1.0}, "publication.format": {"response": null, "ground_truth": null, "score": 1.0}, "publication.place": {"response": null, "ground_truth": null, "score": 1.0}, "publication.pages": {"response": null, "ground_truth": null, "score": 1.0}, "author.first_name": {"response": "Nourhomadeh", "ground_truth": null, "score": 0.0}, "publication.title": {"response": null, "ground_truth": "Montaghemi, Nourhomadeh", "score": 0.0}, "library_reference.shelfmark": {"response": null, "ground_truth": null, "score": 1.0}, "library_reference.subjects": {"response": null, "ground_truth": null, "score": 1.0}, "author.last_name": {"response": "Montaghemi", "ground_truth": "Sonnenbichler", "score": 0.34782608695652173}, "type.type": {"response": "Reference", "ground_truth": "Reference", "score": 1.0}}, "total_fields": 12}, "raw_response": "{\"id\":\"gen-1776775191-5xumylU0HM54HHksfCoo\",\"choices\":[{\"finish_reason\":\"stop\",\"index\":0,\"logprobs\":null,\"message\":{\"content\":\"{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  },\\n  \\\"author\\\": {\\n    \\\"last_name\\\": \\\"Montaghemi\\\",\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"\\\",\\n    \\\"year\\\":  \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\",\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\"\\n  ,\\n  \\\"editor\\\": \\\"\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"shelfmark\\\": \\\"\\\",\\n    \\\"subjects\\\": \\\"\\\"\\n  }\\n}\",\"refusal\":null,\"role\":\"assistant\",\"annotations\":null,\"audio\":null,\"function_call\":null,\"tool_calls\":null,\"parsed\":{\"type\":{\"type\":\"Reference\"},\"author\":{\"last_name\":\"Montaghemi\",\"first_name\":\"Nourhomadeh\"},\"publication\":{\"title\":\"\",\"year\":\"\",\"place\":\"\",\"pages\":\"\",\"publisher\":\"\",\"format\":\"\",\"editor\":\"\"},\"library_reference\":{\"shelfmark\":\"\",\"subjects\":\"\"}},\"reasoning\":\"The user wants me to extract bibliographic information from an image of an index card and return it as a specific JSON structure.\\n\\n**1. Analyze the Image:**\\n*   **Text content:**\\n    *   Line 1: \\\"M o n t a g h e m i, Nourhomadeh\\\"\\n    *   Line 2: \\\"s.\\\"\\n    *   Line 3: \\\"S o n n e n b i c h l e r - Montaghemi, Nourhomadeh\\\"\\n    *   There is a black dot at the bottom.\\n\\n**2. Apply Extraction Rules:**\\n\\n*   **Card Type:**\\n    *   Rule 1: \\\"If a card contains the note 's.' on a separate line, it is a 'Reference'. Otherwise, it is a 'Dissertation or thesis'.\\\"\\n    *   Observation: The card clearly has \\\"s.\\\" on the second line.\\n    *   Result: `type`: \\\"Reference\\\"\\n\\n*   **Author:**\\n    *   Rule 2: \\\"Extract last_name and first_name. If only one name is given, put it in last_name and leave first_name empty.\\\"\\n    *   Observation: The first line is \\\"Montaghemi, Nourhomadeh\\\". This follows the \\\"Lastname, Firstname\\\" convention.\\n    *   Result: `author`: { \\\"last_name\\\": \\\"Montaghemi\\\", \\\"first_name\\\": \\\"Nourhomadeh\\\" }\\n    *   *Self-Correction/Refinement:* Wait, looking at the third line \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\". This looks like a cross-reference card (\\\"s.\\\" stands for \\\"siehe\\\" meaning \\\"see\\\" in German library catalogs). The primary entry might actually be under Sonnenbichler. However, the prompt asks to extract information *from the card*. The top line is usually the filing header or the author being referenced.\\n    *   Let's look at the structure again.\\n    *   Line 1: Montaghemi, Nourhomadeh (This is likely the name under which this card is filed).\\n    *   Line 2: s. (See)\\n    *   Line 3: Sonnenbichler - Montaghemi, Nourhomadeh (This is the name to look up).\\n    *   Since this is a \\\"Reference\\\" card (Rule 1), it doesn't contain publication details like title, year, place, etc. It just points to another name.\\n    *   How do I handle the Author field for a reference card? The prompt says \\\"Extract last_name and first_name\\\". Usually, on a reference card, the name at the top is the \\\"see\\\" name.\\n    *   Let's stick to the text on the top line as the author for the JSON structure, as that's the entity this card represents in the catalog order.\\n    *   Last Name: Montaghemi\\n    *   First Name: Nourhomadeh\\n\\n*   **Publication:**\\n    *   Since this is a reference card (\\\"s.\\\"), there is no actual publication data (title, year, place, etc.) on this specific card. It just points to another name.\\n    *   Rule 5: \\\"Missing Information: Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\n    *   Wait, the JSON schema requires `year` to be an integer. Rule 5 says \\\"omit year fields entirely if not present\\\". But the schema definition in the prompt shows `\\\"year\\\": integer`. This is a contradiction often found in prompts. Usually, if the schema says integer, I should probably put null or omit it if allowed, but the prompt says \\\"omit year fields entirely\\\". However, looking at the provided JSON template: `\\\"year\\\": integer`. If I omit it, it violates the schema structure provided in the prompt description vs the code block.\\n    *   Let's look at the template again:\\n        ```json\\n        \\\"publication\\\": {\\n            \\\"title\\\": \\\"string\\\",\\n            \\\"year\\\": integer,\\n            ...\\n        }\\n        ```\\n    *   If I must follow the template strictly, I can't omit the key. But Rule 5 says \\\"omit year fields entirely if not present\\\". This usually means don't include the key-value pair in the JSON output. However, standard JSON validation would fail if the schema requires it. Given the instruction \\\"Return ONLY the JSON object\\\", I will try to follow Rule 5 strictly regarding the *value* if possible, but since it's a Reference card, there is no publication info.\\n    *   Actually, for a \\\"Reference\\\" card, fields like title, year, place are inherently missing. I will use empty strings for strings. For year, since it's a reference card, there is no year. I will likely have to exclude it or put null, but the prompt says \\\"omit year fields entirely\\\". I will exclude the `year` key from the `publication` object if it's not present, despite the template showing it. Or, I can interpret \\\"omit year fields entirely\\\" as \\\"do not output the year key\\\".\\n    *   Wait, looking at the template provided in the prompt: `\\\"year\\\": integer`. If I output JSON without `year`, it might be considered invalid against that specific schema description. However, Rule 5 is an explicit instruction. \\\"omit year fields entirely if not present\\\". I will follow Rule 5.\\n    *   Title: \\\"\\\"\\n    *   Place: \\\"\\\"\\n    *   Pages: \\\"\\\"\\n    *   Publisher: \\\"\\\"\\n    *   Format: \\\"\\\"\\n\\n*   **Library Reference:**\\n    *   Shelfmark: None visible.\\n    *   Subjects: None visible.\\n    *   Result: Empty strings.\\n\\n**3. Constructing the JSON:**\\n\\n*   `type`: \\\"Reference\\\" (because of \\\"s.\\\")\\n*   `author`: \\\"Montaghemi\\\", \\\"Nourhomadeh\\\" (From the top line).\\n*   `publication`: All empty/omitted.\\n*   `library_reference`: All empty.\\n\\n**Refining the Author:**\\nThe card is a cross-reference. \\\"Montaghemi, Nourhomadeh\\\" see \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\nThe author of the *card entry* is Montaghemi.\\nThe author of the *actual work* is likely Sonnenbichler-Montaghemi.\\nHowever, I am extracting data *from the card*. The top line is the primary sort key.\\nLet's extract \\\"Montaghemi\\\" as last_name and \\\"Nourhomadeh\\\" as first_name based on the top line.\\n\\n**Refining the Publication Year:**\\nThe prompt template shows `\\\"year\\\": integer`.\\nRule 5 says: \\\"omit year fields entirely if not present\\\".\\nIf I omit it, the JSON won't match the template structure exactly, but it follows the extraction rule.\\nHowever, often in these tasks, if a field is required by the schema block, I should provide a placeholder or null, but the rule says \\\"omit\\\". I will omit the key `year` inside `publication`.\\n\\nWait, looking closer at the prompt's JSON template:\\n```json\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"string\\\",\\n    \\\"year\\\": integer,\\n    ...\\n  }\\n```\\nIf I omit `year`, it's not an integer.\\nLet's look at the instruction again: \\\"Return it as a structured JSON object with the following exact format\\\".\\nThis implies the keys must exist.\\nBut Rule 5 says \\\"omit year fields entirely if not present\\\".\\nThis is a conflict. Usually, specific extraction rules override the template example.\\nHowever, since this is a \\\"Reference\\\" card, there is definitely no year.\\nI will check if I can interpret the \\\"s.\\\" line as part of the content. No, \\\"s.\\\" determines the type.\\nOkay, I will prioritize Rule 5. I will not include the `year` key if it's not found.\\nActually, looking at the template again, it defines the *types*. It says `year`: integer.\\nIf I have to output valid JSON that matches the *structure*, I might need to put `null` or just leave it out.\\nLet's look at the \\\"Missing Information\\\" rule again: \\\"Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\nOkay, I will omit the `year` key.\\n\\n**Wait, one more check on the Author.**\\nLine 1: Montaghemi, Nourhomadeh\\nLine 3: Sonnenbichler - Montaghemi, Nourhomadeh\\nThis is a \\\"See\\\" reference. The user is looking up Montaghemi, but the work is filed under Sonnenbichler-Montaghemi (likely a married name).\\nFor the purpose of extraction, the \\\"Author\\\" of this catalog entry is the name at the top.\\nLast Name: Montaghemi\\nFirst Name: Nourhomadeh\\n\\n**Final check on fields:**\\nType: Reference\\nAuthor: Montaghemi, Nourhomadeh\\nPublication: All empty strings. Year omitted.\\nLibrary Ref: All empty strings.\\n\\nLet's assemble.\\n\\n```json\\n{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  },\\n  \\\"author\\\": {\\n    \\\"last_name\\\": \\\"Montaghemi\\\",\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\",\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"shelfmark\\\": \\\"\\\",\\n    \\\"subjects\\\": \\\"\\\"\\n  }\\n}\\n```\\nWait, I omitted `year` based on Rule 5. The template had it. I will follow Rule 5.\\nAlso, the `type` object in the template is:\\n```json\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Dissertation or thesis\\\" OR \\\"Reference\\\"\\n  },\\n```\\nThis is slightly weird JSON structure (a key named \\\"type\\\" inside an object named \\\"type\\\"), but I must follow the \\\"exact format\\\".\\nSo: `\\\"type\\\": { \\\"type\\\": \\\"Reference\\\" }`\\n\\nLet's double check the author name parsing.\\n\\\"Montaghemi, Nourhomadeh\\\" -> Last: Montaghemi, First: Nourhomadeh.\\n\\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" -> This is the reference target. I should probably ignore this for the `author` field of the card itself, or perhaps the card represents the author \\\"Montaghemi\\\". The prompt asks to extract bibliographic info *from the index card*. The card is a reference card for \\\"Montaghemi, Nourhomadeh\\\".\\n\\nOne detail: \\\"s.\\\" is on a separate line. Rule 1 confirms it is a Reference.\\n\\nOkay, ready to generate.\\n\\nOne detail on Rule 5: \\\"omit year fields entirely if not present\\\".\\nI will remove the \\\"year\\\" key from the publication object.\\n\\nOne detail on the `type` field in the JSON template:\\n```json\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Dissertation or thesis\\\" OR \\\"Reference\\\"\\n  },\\n```\\nThis implies the key is `type` and the value is an object with a key `type`.\\nSo: `\\\"type\\\": { \\\"type\\\": \\\"Reference\\\" }`\\n\\nLet's verify the text extraction.\\n\\\"M o n t a g h e m i, Nourhomadeh\\\" -> Montaghemi, Nourhomadeh.\\n\\\"s.\\\"\\n\\\"S o n n e n b i c h l e r - Montaghemi, Nourhomadeh\\\" -> Sonnenbichler-Montaghemi, Nourhomadeh.\\n\\nThe extraction should focus on the main entry.\\nAuthor: Montaghemi / Nourhomadeh.\\n\\nFinal JSON construction.\\n```json\\n{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  },\\n  \\\"author\\\": {\\n    \\\"last_name\\\": \\\"Montaghemi\\\",\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\",\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"shelfmark\\\": \\\"\\\",\\n    \\\"subjects\\\": \\\"\\\"\\n  }\\n}\\n```\\nI removed `year` from `publication` because it is not present and Rule 5 says to omit it.\\nWait, if I look at the template provided in the prompt:\\n```json\\n    \\\"year\\\": integer,\\n```\\nIf I omit it, is it still the \\\"exact format\\\"?\\nUsually, \\\"exact format\\\" refers to the keys and structure. If a rule says \\\"omit if not present\\\", that modifies the structure dynamically.\\nHowever, to be safe and compliant with the visual schema provided which lists `year`, I might consider if I should include it as null? No, Rule 5 is explicit: \\\"omit year fields entirely\\\".\\nSo I will not include the key \\\"year\\\".\\n\\nWait, looking at the template again:\\n```json\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"string\\\",\\n    \\\"year\\\": integer,\\n    \\\"place\\\": \\\"string or empty string\\\",\\n    ...\\n  }\\n```\\nIf I omit `year`, the JSON is valid, just missing that key.\\nI will proceed with omitting `year`.\\n\\nOne final check on the author.\\nThe card lists \\\"Montaghemi, Nourhomadeh\\\" at the top.\\nThen \\\"s.\\\" (see).\\nThen \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\nThis indicates the author's name changed or is filed differently.\\nThe \\\"Author\\\" of the record (the card) is the top line.\\nLast Name: Montaghemi\\nFirst Name: Nourhomadeh\\n\\nThe prompt asks for \\\"bibliographic information about a historical dissertation\\\".\\nSince this is a reference card, there is no dissertation info here, just a pointer.\\nSo empty fields are correct.\\n\\nI will formulate the JSON now.\\n\\n```json\\n{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  },\\n  \\\"author\\\": {\\n    \\\"last_name\\\": \\\"Montaghemi\\\",\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\",\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"shelfmark\\\": \\\"\\\",\\n    \\\"subjects\\\": \\\"\\\"\\n  }\\n}\\n```\\nI'll check if I should include the \\\"Sonnenbichler\\\" part in subjects?\\nRule 4: \\\"subjects: Subject classifications or keywords\\\".\\n\\\"Sonnenbichler - Montaghemi...\\\" is a name reference, not a subject classification.\\nRule 6: \\\"Ignore: Disregard any information that doesn't fit into these categories.\\\"\\nSo I will ignore the second name line as it's a cross-reference instruction, not a subject.\\n\\nFinal check on the `type` key.\\nThe prompt says:\\n```json\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Dissertation or thesis\\\" OR \\\"Reference\\\"\\n  },\\n```\\nThis is a nested object.\\nKey: \\\"type\\\"\\nValue: Object { \\\"type\\\": \\\"String\\\" }\\nThis is redundant but I must follow the format.\\n\\nOkay, generating output.\",\"reasoning_details\":[{\"type\":\"reasoning.text\",\"text\":\"The user wants me to extract bibliographic information from an image of an index card and return it as a specific JSON structure.\\n\\n**1. Analyze the Image:**\\n*   **Text content:**\\n    *   Line 1: \\\"M o n t a g h e m i, Nourhomadeh\\\"\\n    *   Line 2: \\\"s.\\\"\\n    *   Line 3: \\\"S o n n e n b i c h l e r - Montaghemi, Nourhomadeh\\\"\\n    *   There is a black dot at the bottom.\\n\\n**2. Apply Extraction Rules:**\\n\\n*   **Card Type:**\\n    *   Rule 1: \\\"If a card contains the note 's.' on a separate line, it is a 'Reference'. Otherwise, it is a 'Dissertation or thesis'.\\\"\\n    *   Observation: The card clearly has \\\"s.\\\" on the second line.\\n    *   Result: `type`: \\\"Reference\\\"\\n\\n*   **Author:**\\n    *   Rule 2: \\\"Extract last_name and first_name. If only one name is given, put it in last_name and leave first_name empty.\\\"\\n    *   Observation: The first line is \\\"Montaghemi, Nourhomadeh\\\". This follows the \\\"Lastname, Firstname\\\" convention.\\n    *   Result: `author`: { \\\"last_name\\\": \\\"Montaghemi\\\", \\\"first_name\\\": \\\"Nourhomadeh\\\" }\\n    *   *Self-Correction/Refinement:* Wait, looking at the third line \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\". This looks like a cross-reference card (\\\"s.\\\" stands for \\\"siehe\\\" meaning \\\"see\\\" in German library catalogs). The primary entry might actually be under Sonnenbichler. However, the prompt asks to extract information *from the card*. The top line is usually the filing header or the author being referenced.\\n    *   Let's look at the structure again.\\n    *   Line 1: Montaghemi, Nourhomadeh (This is likely the name under which this card is filed).\\n    *   Line 2: s. (See)\\n    *   Line 3: Sonnenbichler - Montaghemi, Nourhomadeh (This is the name to look up).\\n    *   Since this is a \\\"Reference\\\" card (Rule 1), it doesn't contain publication details like title, year, place, etc. It just points to another name.\\n    *   How do I handle the Author field for a reference card? The prompt says \\\"Extract last_name and first_name\\\". Usually, on a reference card, the name at the top is the \\\"see\\\" name.\\n    *   Let's stick to the text on the top line as the author for the JSON structure, as that's the entity this card represents in the catalog order.\\n    *   Last Name: Montaghemi\\n    *   First Name: Nourhomadeh\\n\\n*   **Publication:**\\n    *   Since this is a reference card (\\\"s.\\\"), there is no actual publication data (title, year, place, etc.) on this specific card. It just points to another name.\\n    *   Rule 5: \\\"Missing Information: Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\n    *   Wait, the JSON schema requires `year` to be an integer. Rule 5 says \\\"omit year fields entirely if not present\\\". But the schema definition in the prompt shows `\\\"year\\\": integer`. This is a contradiction often found in prompts. Usually, if the schema says integer, I should probably put null or omit it if allowed, but the prompt says \\\"omit year fields entirely\\\". However, looking at the provided JSON template: `\\\"year\\\": integer`. If I omit it, it violates the schema structure provided in the prompt description vs the code block.\\n    *   Let's look at the template again:\\n        ```json\\n        \\\"publication\\\": {\\n            \\\"title\\\": \\\"string\\\",\\n            \\\"year\\\": integer,\\n            ...\\n        }\\n        ```\\n    *   If I must follow the template strictly, I can't omit the key. But Rule 5 says \\\"omit year fields entirely if not present\\\". This usually means don't include the key-value pair in the JSON output. However, standard JSON validation would fail if the schema requires it. Given the instruction \\\"Return ONLY the JSON object\\\", I will try to follow Rule 5 strictly regarding the *value* if possible, but since it's a Reference card, there is no publication info.\\n    *   Actually, for a \\\"Reference\\\" card, fields like title, year, place are inherently missing. I will use empty strings for strings. For year, since it's a reference card, there is no year. I will likely have to exclude it or put null, but the prompt says \\\"omit year fields entirely\\\". I will exclude the `year` key from the `publication` object if it's not present, despite the template showing it. Or, I can interpret \\\"omit year fields entirely\\\" as \\\"do not output the year key\\\".\\n    *   Wait, looking at the template provided in the prompt: `\\\"year\\\": integer`. If I output JSON without `year`, it might be considered invalid against that specific schema description. However, Rule 5 is an explicit instruction. \\\"omit year fields entirely if not present\\\". I will follow Rule 5.\\n    *   Title: \\\"\\\"\\n    *   Place: \\\"\\\"\\n    *   Pages: \\\"\\\"\\n    *   Publisher: \\\"\\\"\\n    *   Format: \\\"\\\"\\n\\n*   **Library Reference:**\\n    *   Shelfmark: None visible.\\n    *   Subjects: None visible.\\n    *   Result: Empty strings.\\n\\n**3. Constructing the JSON:**\\n\\n*   `type`: \\\"Reference\\\" (because of \\\"s.\\\")\\n*   `author`: \\\"Montaghemi\\\", \\\"Nourhomadeh\\\" (From the top line).\\n*   `publication`: All empty/omitted.\\n*   `library_reference`: All empty.\\n\\n**Refining the Author:**\\nThe card is a cross-reference. \\\"Montaghemi, Nourhomadeh\\\" see \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\nThe author of the *card entry* is Montaghemi.\\nThe author of the *actual work* is likely Sonnenbichler-Montaghemi.\\nHowever, I am extracting data *from the card*. The top line is the primary sort key.\\nLet's extract \\\"Montaghemi\\\" as last_name and \\\"Nourhomadeh\\\" as first_name based on the top line.\\n\\n**Refining the Publication Year:**\\nThe prompt template shows `\\\"year\\\": integer`.\\nRule 5 says: \\\"omit year fields entirely if not present\\\".\\nIf I omit it, the JSON won't match the template structure exactly, but it follows the extraction rule.\\nHowever, often in these tasks, if a field is required by the schema block, I should provide a placeholder or null, but the rule says \\\"omit\\\". I will omit the key `year` inside `publication`.\\n\\nWait, looking closer at the prompt's JSON template:\\n```json\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"string\\\",\\n    \\\"year\\\": integer,\\n    ...\\n  }\\n```\\nIf I omit `year`, it's not an integer.\\nLet's look at the instruction again: \\\"Return it as a structured JSON object with the following exact format\\\".\\nThis implies the keys must exist.\\nBut Rule 5 says \\\"omit year fields entirely if not present\\\".\\nThis is a conflict. Usually, specific extraction rules override the template example.\\nHowever, since this is a \\\"Reference\\\" card, there is definitely no year.\\nI will check if I can interpret the \\\"s.\\\" line as part of the content. No, \\\"s.\\\" determines the type.\\nOkay, I will prioritize Rule 5. I will not include the `year` key if it's not found.\\nActually, looking at the template again, it defines the *types*. It says `year`: integer.\\nIf I have to output valid JSON that matches the *structure*, I might need to put `null` or just leave it out.\\nLet's look at the \\\"Missing Information\\\" rule again: \\\"Use empty string \\\"\\\" for missing text fields, omit year fields entirely if not present.\\\"\\nOkay, I will omit the `year` key.\\n\\n**Wait, one more check on the Author.**\\nLine 1: Montaghemi, Nourhomadeh\\nLine 3: Sonnenbichler - Montaghemi, Nourhomadeh\\nThis is a \\\"See\\\" reference. The user is looking up Montaghemi, but the work is filed under Sonnenbichler-Montaghemi (likely a married name).\\nFor the purpose of extraction, the \\\"Author\\\" of this catalog entry is the name at the top.\\nLast Name: Montaghemi\\nFirst Name: Nourhomadeh\\n\\n**Final check on fields:**\\nType: Reference\\nAuthor: Montaghemi, Nourhomadeh\\nPublication: All empty strings. Year omitted.\\nLibrary Ref: All empty strings.\\n\\nLet's assemble.\\n\\n```json\\n{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  },\\n  \\\"author\\\": {\\n    \\\"last_name\\\": \\\"Montaghemi\\\",\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\",\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"shelfmark\\\": \\\"\\\",\\n    \\\"subjects\\\": \\\"\\\"\\n  }\\n}\\n```\\nWait, I omitted `year` based on Rule 5. The template had it. I will follow Rule 5.\\nAlso, the `type` object in the template is:\\n```json\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Dissertation or thesis\\\" OR \\\"Reference\\\"\\n  },\\n```\\nThis is slightly weird JSON structure (a key named \\\"type\\\" inside an object named \\\"type\\\"), but I must follow the \\\"exact format\\\".\\nSo: `\\\"type\\\": { \\\"type\\\": \\\"Reference\\\" }`\\n\\nLet's double check the author name parsing.\\n\\\"Montaghemi, Nourhomadeh\\\" -> Last: Montaghemi, First: Nourhomadeh.\\n\\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\" -> This is the reference target. I should probably ignore this for the `author` field of the card itself, or perhaps the card represents the author \\\"Montaghemi\\\". The prompt asks to extract bibliographic info *from the index card*. The card is a reference card for \\\"Montaghemi, Nourhomadeh\\\".\\n\\nOne detail: \\\"s.\\\" is on a separate line. Rule 1 confirms it is a Reference.\\n\\nOkay, ready to generate.\\n\\nOne detail on Rule 5: \\\"omit year fields entirely if not present\\\".\\nI will remove the \\\"year\\\" key from the publication object.\\n\\nOne detail on the `type` field in the JSON template:\\n```json\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Dissertation or thesis\\\" OR \\\"Reference\\\"\\n  },\\n```\\nThis implies the key is `type` and the value is an object with a key `type`.\\nSo: `\\\"type\\\": { \\\"type\\\": \\\"Reference\\\" }`\\n\\nLet's verify the text extraction.\\n\\\"M o n t a g h e m i, Nourhomadeh\\\" -> Montaghemi, Nourhomadeh.\\n\\\"s.\\\"\\n\\\"S o n n e n b i c h l e r - Montaghemi, Nourhomadeh\\\" -> Sonnenbichler-Montaghemi, Nourhomadeh.\\n\\nThe extraction should focus on the main entry.\\nAuthor: Montaghemi / Nourhomadeh.\\n\\nFinal JSON construction.\\n```json\\n{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  },\\n  \\\"author\\\": {\\n    \\\"last_name\\\": \\\"Montaghemi\\\",\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\",\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"shelfmark\\\": \\\"\\\",\\n    \\\"subjects\\\": \\\"\\\"\\n  }\\n}\\n```\\nI removed `year` from `publication` because it is not present and Rule 5 says to omit it.\\nWait, if I look at the template provided in the prompt:\\n```json\\n    \\\"year\\\": integer,\\n```\\nIf I omit it, is it still the \\\"exact format\\\"?\\nUsually, \\\"exact format\\\" refers to the keys and structure. If a rule says \\\"omit if not present\\\", that modifies the structure dynamically.\\nHowever, to be safe and compliant with the visual schema provided which lists `year`, I might consider if I should include it as null? No, Rule 5 is explicit: \\\"omit year fields entirely\\\".\\nSo I will not include the key \\\"year\\\".\\n\\nWait, looking at the template again:\\n```json\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"string\\\",\\n    \\\"year\\\": integer,\\n    \\\"place\\\": \\\"string or empty string\\\",\\n    ...\\n  }\\n```\\nIf I omit `year`, the JSON is valid, just missing that key.\\nI will proceed with omitting `year`.\\n\\nOne final check on the author.\\nThe card lists \\\"Montaghemi, Nourhomadeh\\\" at the top.\\nThen \\\"s.\\\" (see).\\nThen \\\"Sonnenbichler - Montaghemi, Nourhomadeh\\\".\\nThis indicates the author's name changed or is filed differently.\\nThe \\\"Author\\\" of the record (the card) is the top line.\\nLast Name: Montaghemi\\nFirst Name: Nourhomadeh\\n\\nThe prompt asks for \\\"bibliographic information about a historical dissertation\\\".\\nSince this is a reference card, there is no dissertation info here, just a pointer.\\nSo empty fields are correct.\\n\\nI will formulate the JSON now.\\n\\n```json\\n{\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Reference\\\"\\n  },\\n  \\\"author\\\": {\\n    \\\"last_name\\\": \\\"Montaghemi\\\",\\n    \\\"first_name\\\": \\\"Nourhomadeh\\\"\\n  },\\n  \\\"publication\\\": {\\n    \\\"title\\\": \\\"\\\",\\n    \\\"place\\\": \\\"\\\",\\n    \\\"pages\\\": \\\"\\\",\\n    \\\"publisher\\\": \\\"\\\",\\n    \\\"format\\\": \\\"\\\"\\n  },\\n  \\\"library_reference\\\": {\\n    \\\"shelfmark\\\": \\\"\\\",\\n    \\\"subjects\\\": \\\"\\\"\\n  }\\n}\\n```\\nI'll check if I should include the \\\"Sonnenbichler\\\" part in subjects?\\nRule 4: \\\"subjects: Subject classifications or keywords\\\".\\n\\\"Sonnenbichler - Montaghemi...\\\" is a name reference, not a subject classification.\\nRule 6: \\\"Ignore: Disregard any information that doesn't fit into these categories.\\\"\\nSo I will ignore the second name line as it's a cross-reference instruction, not a subject.\\n\\nFinal check on the `type` key.\\nThe prompt says:\\n```json\\n  \\\"type\\\": {\\n    \\\"type\\\": \\\"Dissertation or thesis\\\" OR \\\"Reference\\\"\\n  },\\n```\\nThis is a nested object.\\nKey: \\\"type\\\"\\nValue: Object { \\\"type\\\": \\\"String\\\" }\\nThis is redundant but I must follow the format.\\n\\nOkay, generating output.\",\"format\":\"unknown\",\"index\":0}]},\"native_finish_reason\":\"stop\"}],\"created\":1776775191,\"model\":\"qwen/qwen3.5-397b-a17b-20260216\",\"object\":\"chat.completion\",\"service_tier\":null,\"system_fingerprint\":null,\"usage\":{\"completion_tokens\":3521,\"prompt_tokens\":1007,\"total_tokens\":4528,\"completion_tokens_details\":{\"accepted_prediction_tokens\":null,\"audio_tokens\":0,\"reasoning_tokens\":3223,\"rejected_prediction_tokens\":null,\"image_tokens\":0},\"prompt_tokens_details\":{\"audio_tokens\":0,\"cached_tokens\":0,\"cache_write_tokens\":0,\"video_tokens\":0},\"cost\":0.01287735,\"is_byok\":false,\"cost_details\":{\"upstream_inference_cost\":0.01287735,\"upstream_inference_prompt_cost\":0.00055385,\"upstream_inference_completions_cost\":0.0123235}},\"provider\":\"Morph\"}"}, "scoring": {"f1_micro": 0.7885290674990246, "f1_macro": 0.7841444866920152, "micro_precision": 0.7454813721873847, "micro_recall": 0.8368530020703934, "total_instances": 263, "total_tp": 2021, "total_fp": 690, "total_fn": 394, "cost_summary": {"total_input_tokens": 302269, "total_output_tokens": 845420, "total_tokens": 1147689, "input_cost_usd": 0.11788490999999958, "output_cost_usd": 1.9782828000000015, "total_cost_usd": 2.096167710000001}}, "pricing": {"bucket_date": "2026-04-21", "age_days": 0, "input_price_per_million": 0.39, "output_price_per_million": 2.34}, "timing": {"total_response_s": 78677.43, "mean_response_s": 299.15, "slowest_response_s": 3875.49, "inputs_timed": 263, "inputs_stored": 263, "span_s": 6528.77}, "normalized_score": 78.41444866920152}