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Technical implementation · Entity & Knowledge Graph

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Definition

Entity extraction is the process by which AI systems identify and pull named entities — people, organizations, locations, products, and concepts — from unstructured text. It is a core component of named entity recognition (NER) and is used to build knowledge graphs and populate retrieval indexes. Entity extraction is how AI systems turn your content into structured knowledge. A page that clearly names and contextualizes the entities it discusses — using full proper names, consistent references, and explicit relationships — produces cleaner entity extraction results than a page that uses pronouns, abbreviations, and vague references. Content written with entity extraction in mind is more likely to be correctly attributed and accurately represented in AI knowledge systems.

Named entity recognition

Entity salience

Entity record

Knowledge graph

Structured data

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