Merged LinkedIn-extracted staff sections from PENDING files into their
corresponding proper GHCID custodian files. This consolidates data from
two extraction sources:
- Existing enriched files: Google Maps, Museum Register, YouTube, etc.
- PENDING files: LinkedIn staff data extraction
Files modified:
- 28 custodian files enriched with staff data
- 35 PENDING files deleted (merged into proper locations)
- Originals archived to archive/pending_duplicates_20250109/
Key institutions enriched:
- Rijksmuseum (NL-NH-AMS-M-RM)
- Stedelijk Museum Amsterdam (NL-NH-AMS-M-SMA)
- Amsterdam Museum (NL-NH-AMS-M-AM)
- Regionaal Archief Alkmaar (NL-NH-ALK-A-RAA)
- Maritiem Museum Rotterdam (NL-ZH-ROT-M-MMR)
- And 23 more museums/archives across NL
New scripts:
- scripts/merge_staff_data.py: Automated staff data merger
- scripts/categorize_pending_files.py: PENDING file analysis utility
Script to resolve NL-XX-XXX-PENDING files that have city names in filename:
- Looks up city in GeoNames database
- Updates YAML with location data (city, region, country)
- Generates proper GHCID with UUID v5/v8
- Renames files to match new GHCID
- Archives original PENDING files for reference
- Add --type/-t flag to specify institution type (A, G, H, I, L, M, N, O, R, S, T, U, X, ALL)
- Default still Type I (Intangible Heritage) for backward compatibility
- Skip PENDING files that have no location data
- Update help text with all supported types
Manual review of remaining Type I custodian files without official websites
identified additional false matches in these categories:
Wrong organization type:
- Bird catchers vs bird watchers association
- Heritage org vs webshop
- Regional org vs specific local entity
- Federation vs single member association
- Bell ringers org vs church building
Wrong location:
- Amsterdam org matched to Den Haag
- Haarlem org matched to Apeldoorn
- Rotterdam org matched to Amstelveen
- Dutch org matched to Suriname (!)
- Giethoorn event matched to Belt-Schutsloot
- Duindorp bonfire matched to Scheveningen
Different event/entity:
- Horse racing org vs summer festival
- Street name vs organization
- Heritage foundation vs specific local fair
Total Type I false matches fixed: 62 of 188 files (33%)
Additional Type I custodian files with obvious name mismatches between
KIEN registry entries and Google Maps results. These couldn't be
auto-detected via domain mismatch because they lack official websites.
Fixes:
- Dick Timmerman (person) → carpentry business
- Ria Bos (cigar maker) → money transfer agent
- Stichting Kracom (Krampuslauf) → Happy Caps retail
- Fed. Nederlandse Vertelorganisaties → NET Foundation
- Stichting dodenherdenking Alphen → wrong memorial
- Sao Joao Rotterdam → Heemraadsplein (location not org)
- sport en spel (heritage) → equipment rental
- Eiertikken Ommen → restaurant
Also adds detection and fix scripts for Google Maps false matches.
- Updated documentation to clarify integration points with existing components in the RAG pipeline and DSPy framework.
- Added detailed mapping of SPARQL templates to context templates for improved specificity filtering.
- Implemented wrapper patterns around existing classifiers to extend functionality without duplication.
- Introduced new tests for the SpecificityAwareClassifier and SPARQLToContextMapper to ensure proper integration and functionality.
- Enhanced the CustodianRDFConverter to include ISO country and subregion codes from GHCID for better geospatial data handling.
- Created deliverables_slot for expected or achieved deliverable outputs.
- Introduced event_id_slot for persistent unique event identifiers.
- Added follow_up_date_slot for scheduled follow-up action dates.
- Implemented object_ref_slot for references to heritage objects.
- Established price_slot for price information across entities.
- Added price_currency_slot for currency codes in price information.
- Created protocol_slot for API protocol specifications.
- Introduced provenance_text_slot for full provenance entry text.
- Added record_type_slot for classification of record types.
- Implemented response_formats_slot for supported API response formats.
- Established status_slot for current status of entities or activities.
- Added FactualCountDisplay component for displaying count query results.
- Introduced ReplyTypeIndicator component for visualizing reply types.
- Created approval_date_slot for formal approval dates.
- Added authentication_required_slot for API authentication status.
- Implemented capacity_items_slot for maximum storage capacity.
- Established conservation_lab_slot for conservation laboratory information.
- Added cost_usd_slot for API operation costs in USD.
- 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.
