Entity Extractor
Extract named entities + Schema.org types + Wikipedia sameAs candidates
Input Text
What this tool does
Identifies named entities (people, organizations, places, products, events, creative works) in any text and maps each to its Schema.org @type. Includes topic detection and best-guess Wikipedia sameAs URLs for building a knowledge-graph-friendly content layer.
Who it's for: SEO professionals focused on semantic SEO and topical authority; developers building knowledge graphs from text.
When to use
- •Reinforce entity signals on an article by adding sameAs Wikipedia links.
- •Map blog content to a controlled entity vocabulary.
- •Generate a 'Related topics' section using the detected entities.
- •Enrich Schema.org Organization markup with founder, location, and product entities.
How it works
- 1Paste 80+ characters of text.
- 2AI identifies entities and classifies them into Schema.org types.
- 3For each entity, a best-guess Wikipedia URL is returned.
- 4Use the topics and sameAs list in your structured data.
Tips
- •Always verify Wikipedia URLs before using them as sameAs - AI guesses can be wrong.
- •Higher confidence scores (80+) are more reliable for semantic SEO.
- •Use the topic list to build internal linking structures.