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Knowledge Graph Verification

Structured Facts,
Not Hallucinated Claims.

Verify LLM-generated facts against structured knowledge graphs using triple-based (Subject-Predicate-Object) matching. If it's not in the graph, it's flagged.

LLM Claim
"The Eiffel Tower is located in Berlin, Germany."
Triple Extraction
Subject: Eiffel Tower
Predicate: located_in
Object: Berlin, Germany
Knowledge Graph
Eiffel Tower → located_in → Paris, France
Verdict
MISMATCH: Object differs
Expected: Paris, France

Why Knowledge Graphs?

Unstructured text is ambiguous. Knowledge Graphs encode facts as precise triples, enabling deterministic verification that no amount of prompt engineering can match.

Entity Resolution

Automatically resolves entity aliases ("NYC" → "New York City") and maps them to canonical graph nodes for accurate matching.

Relation Verification

Validates not just entities but the relationships between them. "CEO of" vs "Founder of" are critically different predicates.

Custom Knowledge Bases

Bring your own knowledge graph or connect to Wikidata, DBpedia, or proprietary enterprise ontologies for domain-specific verification.

Engine Capabilities

Triple Extraction
Automatically parse claims into Subject-Predicate-Object triples.
Entity Linking
Resolve entities to canonical URIs across knowledge bases.
Relation Matching
Verify predicates against ontology-defined relationships.
Multi-Hop Reasoning
Traverse graph edges to verify indirect claims (A→B→C).
Temporal Awareness
Check facts against time-aware graph snapshots for historical accuracy.
Confidence Scoring
Score verification confidence based on graph coverage and match quality.

The Structured Truth Layer

While RAG verifies against unstructured documents, Graph Fact Verification leverages the precision of structured knowledge. Perfect for domains where relationships matter as much as facts.

Provenance Tracking

Every verified fact links back to its source triple in the knowledge graph, providing full provenance for audit and compliance requirements.

Ready to ground AI in structured knowledge?

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