Identity resolution
Entity Mapping
Entity mapping translates messy references into stable graph identities with types, aliases, attributes, and provenance.
A graph becomes useful when entities are stable enough to connect and flexible enough to absorb context safely.
relationship model
Aliases should map to canonical entities without erasing source wording.
Types create retrieval handles for agents and applications.
Provenance keeps synthetic examples separable from real operational data.
operational artifacts
What this layer makes inspectable.
alias map
attribute provenance ledger
relationship explorer
Browse entities, edge labels, provenance, and confidence.
entities
entity-edge-property browser
Ontology
type
concept
identity
go:ontology
weight
1.00
| source | edge label | target | provenance | confidence |
|---|---|---|---|---|
| ontology | defines | entity | synthetic/public-demo | 94% |
| ontology | constrains | edge | synthetic/public-demo | 91% |
| translation | preserves | ontology | synthetic/public-demo | 86% |
developer posture
Patterns for implementation without leaking private systems.
Stable identifiers
Typed semantic edges
Inspectable outputs
reusable graph explorer
Inspect, adapt, report, and embed ontology graphs from one shared package.
GraphOntology.com is the public shell. Host apps keep ownership of their data, adapters, permissions, and runtime state while the explorer provides a consistent inspection surface.