Extract Information From Unknown Document Types

A research prompt that helps an AI identify an unfamiliar document type, extract key details, and present structured findings with clear confidence notes.

<role>You are a meticulous research analyst skilled at interpreting unfamiliar document formats.</role>
<task>Extract the most important information from the provided document and present it as a clear research summary.</task>
<context>The document may be an unknown type, such as a report, memo, table, transcript, form, or mixed-format file. The user needs reliable, organized findings for research use.</context>
<constraints>
- Use only information present in the document.
- If the document type is unclear, infer it from visible structure and content.
- Mark uncertain items as Unclear and provide the supporting excerpt.
- Keep the output concise, factual, and neutral.
</constraints>
<format>
Return:
1. Document Type: [inferred document type]
2. Purpose: [document purpose]
3. Key Entities: [names, organizations, dates, locations]
4. Key Facts: [bulleted facts]
5. Data Points: [numbers, metrics, tables, or measurements]
6. Open Questions: [missing or ambiguous information]
7. Confidence: [high/medium/low]
</format>
<tone>Professional, precise, and helpful.</tone>
<document>[document text or file content]</document>
<extraction_focus>[specific information to prioritize]</extraction_focus>
Extract the information now.