Extract entities from text without training examples, using only entity type definitions. ## Text to Process {{text}} ## Entity Types {{entity_definitions}} ## Extraction Rules {{extraction_rules}} **Extraction Instructions:** 1. Read the text carefully, identifying spans that match entity definitions. 2. For each potential entity: - Verify it matches the type definition - Extract the exact text span - Identify start/end positions - Assign confidence level 3. Handle edge cases: - Overlapping entities - Ambiguous types - Partial matches **Output Format:** ```json { "entities": [ { "text": "extracted text", "type": "entity_type", "start": 0, "end": 10, "confidence": 0.95 } ] } ``` Include disambiguation notes for ambiguous cases.
Zero-Shot Entity Extraction
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Zero-shot entity extraction using only type definitions with span identification, confidence scoring, and disambiguation handling.
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Details
Category
CodingUse Cases
Entity extractionNERText processing
Works Best With
claude-sonnet-4-20250514gpt-4o
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