Ontological governance

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> Ontological governance is the discipline of governing what the platform *means* by its categories over time — enforced through four throttled CSV ledgers that define classification vocabulary, and a human-verification loop that prevents automated extraction errors from compounding.

**Ontological governance** is the framework that keeps the
platform's classification vocabulary stable and its extracted
identity data accurate. It operates across two mechanisms: the
four control ledgers that govern how `service-content` classifies
knowledge, and the verification surveyor that forces extracted
identity fragments through human review before they are permanently
written into the verified ledger. These two mechanisms are
structurally separate but serve the same goal: preventing
accumulated classification drift from undermining the integrity of
long-lived institutional data.
Automated classification systems drift over time — categories multiply, vocabulary fractures, and extracted data accumulates errors faster than they can be corrected. **Ontological governance** prevents this through two structural mechanisms: four throttled control ledgers that define classification vocabulary at intentionally slow update rates, and a human-verification loop that forces extracted identity fragments through human review before they are permanently written into the verified ledger. These two mechanisms are structurally separate but serve the same goal: preventing accumulated classification drift from undermining the integrity of long-lived institutional data. For a regulated operator, this means the platform's knowledge graph remains auditable and its identity records remain accurate without continuous manual curation.

## The three-stage extraction pipeline