https://www.weitix.de https://www.weitix.de/wikentity-entity-extraction-api <div data-rss-type="text"> <h2> <span> Accurate entity extraction and reliable entity linking for production NLP </span> </h2> <h3> <span> <br/> </span> </h3> </div> <div data-rss-type="text"> <p> <span> 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. </span> </p> <p> <span> 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. </span> </p> <h2> <span> What Wikentity returns </span> </h2> <p> <span> For each detected entity, Wikentity provides structured metadata such as: </span> </p> <ul> <li> <span> <span> Wikidata entity ID (for example  </span> </span> <code> Q... </code> <span>   IDs) </span> </li> <li> <span> Wikipedia URL </span> </li> <li> <span> Entity label and aliases </span> </li> <li> <span> Description and image URL </span> </li> <li> <span> <span> Entity types ( </span> </span> <code> instanceOf </code> <span> <span> ,  </span> </span> <code> subclassOf </code> <span> <span> ) </span> </span> </li> <li> <span> Additional optional metadata (for example occupations, dates, citizenship, official website) </span> </li> </ul> <h2> <span> Why teams choose Wikentity </span> </h2> <ul> <li> <span> Reliable entity linking: IDs and URLs are validated for verifiable references </span> </li> <li> <span> Hallucination-resistant output: designed to avoid fabricated mappings </span> </li> <li> <span> Structured JSON response: easy to integrate into apps, pipelines, and data platforms </span> </li> <li> <span> Production-ready NLP API: suitable for high-quality knowledge enrichment workflows </span> </li> </ul> <h2> <span> Common use cases </span> </h2> <p> <span> Wikentity is ideal for: </span> </p> <ul> <li> <span> Knowledge graph enrichment </span> </li> <li> <span> Semantic search and entity-based filtering </span> </li> <li> <span> Content tagging and document classification </span> </li> <li> <span> News, media, and research analytics </span> </li> <li> <span> RAG preprocessing and AI data grounding </span> </li> <li> <span> Entity-aware recommendation systems </span> </li> </ul> <p> <span> <br/> </span> </p> </div> <div data-rss-type="text"> <p> <span> 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. </span> </p> </div> Wed, 27 May 2026 09:51:30 GMT https://www.weitix.de/wikentity-entity-extraction-api thumbnail main image