Evidence Entity Linking is the system layer that maps evidence units to structured entities inside the GEO ontology and knowledge graph, enabling semantic alignment and structured reasoning.
Context Block
Page Type: Evidence System Layer
Function: Entity Mapping Engine
Position: Structural enrichment layer across Evidence pipeline
Role: Connects evidence content to defined entities in ontology system
This layer converts raw or semi-structured evidence into entity-aware knowledge units that can be processed by higher reasoning systems.
Core Objective
- Identify entities within evidence content
- Link evidence to ontology-defined entities
- Improve semantic retrieval precision
- Enable structured knowledge graph alignment
- Support disambiguation and context resolution
Entity Linking Pipeline
1. Entity Extraction
Detects named entities from evidence text (people, systems, metrics, concepts).
2. Candidate Generation
Maps extracted entities to possible ontology matches.
3. Disambiguation
Selects correct entity based on context and evidence signals.
4. Entity Binding
Links evidence unit to resolved ontology entity.
5. Graph Integration
Inserts relationship into knowledge graph structure.
Entity Types
- Person Entities — individuals or authors
- Organization Entities — companies, institutions
- Concept Entities — abstract ideas or frameworks
- System Entities — tools, platforms, architectures
- Metric Entities — measurable values or indicators
Linking Signals
- Contextual similarity score
- Ontology match confidence
- Co-occurrence frequency
- Entity relationship proximity
- Semantic embedding distance
Example Linking
Evidence: “Google algorithm update impacts ranking volatility”
- Google → Organization Entity
- Algorithm update → System Event Entity
- Ranking volatility → Metric Entity
Integration in GEO Pipeline
Evidence Entity Linking acts as the semantic bridge between raw evidence and structured ontology-driven reasoning.
Failure Modes
- Incorrect entity mapping due to ambiguity
- Missing entity detection in dense text
- Wrong disambiguation in multi-domain context
- Over-linking irrelevant entities
Structured Output Model
Each evidence unit produces:
- Linked Entity Set
- Entity Confidence Scores
- Ontology Mapping References
- Disambiguation Trace Log
- Knowledge Graph Edge Definitions
Relationship Block
Parent Layer: /evidence/
Upstream: Evidence Classification, Evidence Ingestion
Downstream: Evidence Ontology Alignment, Evidence Grounding Layer
Connected Systems: Ontology Layer, Knowledge Graph, Retrieval Engine
Structured Summary
Evidence Entity Linking is the semantic structuring layer of the Evidence system. It connects evidence content to defined entities, enabling structured understanding and graph-based reasoning.
This layer ensures that evidence is not treated as raw text but as entity-aware knowledge integrated into the GEO ontology system.