- Updated `entity_review.py` to map email semantic fields from JSON.
- Expanded `email_semantics.py` with additional museum mappings.
- Introduced a new rule in `.opencode/rules/no-duplicate-ontology-mappings.md` to prevent duplicate ontology mappings.
- Added a backup JSON file for entity resolution candidates.
- Created `enrich_email_semantics.py` to enrich candidates with email semantic signals.
- Developed `merge_entity_reviews.py` to merge reviewed decisions from a backup into new candidates.
- Use crm:E39_Actor instead of glam:HeritageCustodian
- Use hc:institutionType with single-letter codes (M, L, A, etc.)
- Use Wikidata URIs for countries (Q55=NL, Q31=BE, etc.)
- Use skos:prefLabel for institution names
- Update ONTOLOGY_CONTEXT with correct examples
- Fixed _vector_search() to check uses_named_vectors() before adding 'using' parameter
- Fixed _person_vector_search() to detect person collection vector size and use appropriate model
- Resolves 'Not existing vector name error: openai_1536' for single-vector collections
- Resolves embedding dimension mismatch between heritage_custodians (1536-dim) and heritage_persons (384-dim)
- Implemented a new script `test_pico_arabic_waqf.py` to test the GLM annotator's ability to extract person observations from Arabic historical documents.
- The script includes environment variable handling for API token, structured prompts for the GLM API, and validation of extraction results.
- Added comprehensive logging for API responses, extraction results, and validation errors.
- Included a sample Arabic waqf text for testing purposes, following the PiCo ontology pattern.
