The process of validating that nodes and edges in a knowledge graph accurately represent real-world entities, attributes, and relationships using internal and external evidence.
Why this matters:
Verified graphs reduce hallucinated associations, lowering legal and reputational risk when AI systems rely on the graph to answer regulated or high-stakes queries.