- actions_required
- entity:view
- entity:create
- entity:update
- description
- Extracts named entities and relationships from text content using Gemini. Requires entities with a 'text' property (or text file attachment) — cannot process raw files like PDFs or images. Route files through OCR or PDF extraction first.
- endpoint
- https://kg-extractor-v2.nick-chimicles-professional.workers.dev
- endpoint_verified_at
- 2026-02-23T19:52:00.614Z
- input_schema
- description
- Optional parameters to customize extraction behavior. Properties map directly to keys in request.input.
- properties
- instructions
- description
- Custom instructions appended to the extraction prompt. Use to guide what types of entities to focus on, what to skip, or how to interpret domain-specific content. Example: 'Focus on legal entities and contractual relationships. Skip generic organizational mentions.'
- required
- false
- type
- string
- target_entity_count
- description
- Override the default target of ~10-20 entities per chunk. Higher values extract more granular entities; lower values focus on only the most significant ones.
- maximum
- 100
- minimum
- 1
- required
- false
- type
- integer
- match
- or
- exists
- true
- path
- properties.text
- path
- type
- produces
- cardinality
- many
- types
- person
- creature
- ship
- place
- group
- object
- concept
- organization
- event
- entity
- status
- active