Overview
During document ingestion, the AI classifies documents and extracts entities. When confidence is low or conflicts arise, items are queued for manual review. The conflict resolution interface lets administrators review these cases and provide corrections.
Navigate to Admin > Graph > Conflict Resolution.
Classification Reviews
When the AI is uncertain about how to classify a document or which content type it belongs to, the document enters the review queue.
For each review item, you can see:
- Document preview — A text excerpt from the document
- AI classification — The AI’s suggested classification with confidence score
- Alternative classifications — Other possible classifications the AI considered
- Resolution status — Pending, approved, or rejected
Resolving Classifications
- Review the document preview and AI suggestions
- Select the correct classification
- Submit your decision
Your corrections improve future AI accuracy by providing feedback to the classification model.
Entity Match Reviews
When the matching system identifies potential duplicate entities but isn’t confident enough to auto-merge them, they appear in the match review queue.
Each match review shows:
- Entity data — The entity in question with its properties
- Candidate matches — Potential duplicate entities ranked by match score
- Match score — Confidence level for each candidate
Review Actions
| Action | Description |
|---|
| Merge | Confirm the entities are the same and merge them |
| Confirm New | The entity is distinct — keep it as a separate entry |
| Skip / Reject | Set aside for later review |
Status Indicators
Match reviews display color-coded status:
- Pending (orange) — Awaiting review
- Approved (green) — Merged with a candidate
- Merged (blue) — Successfully combined
- Rejected (red) — Confirmed as distinct entities
Version Toggle
The conflict resolution interface offers both v1 and v2 editors. The v2 editor provides an updated interface with improved usability for reviewing and resolving conflicts.
Review conflicts regularly, especially during initial ingestion. Early corrections significantly improve the AI’s accuracy for subsequent document processing.
