Wikentity is a Named Entity Recognition (NER) API and Entity Linking API that extracts entities from unstructured text and links them to verified Wikidata IDs and Wikipedia pages.

If you are searching for an API for entity extraction, NLP entity recognition, Wikipedia entity linking, or Wikidata lookup, Wikentity is built for that exact use case.

What Wikentity returns

For each detected entity, Wikentity provides structured metadata such as:

• Wikidata entity ID (for example  Q...   IDs)
• Wikipedia URL
• Entity label and aliases
• Description and image URL
• Entity types ( instanceOf ,  subclassOf )
• Additional optional metadata (for example occupations, dates, citizenship, official website)

Why teams choose Wikentity

• Reliable entity linking: IDs and URLs are validated for verifiable references
• Hallucination-resistant output: designed to avoid fabricated mappings
• Structured JSON response: easy to integrate into apps, pipelines, and data platforms
• Production-ready NLP API: suitable for high-quality knowledge enrichment workflows

Common use cases

Wikentity is ideal for:

• Knowledge graph enrichment
• Semantic search and entity-based filtering
• Content tagging and document classification
• News, media, and research analytics
• RAG preprocessing and AI data grounding
• Entity-aware recommendation systems

The API is published on RapidAPI where you can try it for free. If you want a custom demo, please contact us. We can provide you with an API key and a user-friendly sandbox for experimentation.