- Download GeoNames JP postal code database (142K entries)
- Create geocode_japan_postal.py with postal code lookup
- Handle unicode hyphen variants in postal codes
- Add manual mappings for remote Tokyo islands (Hachijojima, Miyakejima)
- Implement prefix fallback for company postal codes
- Total JP files geocoded: 540 (99.81% coverage)
This brings overall geocoding coverage from 97.84% to 99.81%
- Improved city name normalization to handle:
- St. Gallen / St.Gallen -> Sankt Gallen
- Canton suffixes (Buchs SG, Brugg AG)
- Hyphenated districts (Bernex - Genève)
- Postal codes with slashes (Ecublens/VD)
- German prepositions (Hausen b. Brugg)
- Created scripts/geocode_from_city_name.py for unified geocoding
- Introduced LEGAL-FORM-FILTER rule to standardize CustodianName by removing legal form designations.
- Documented rationale, examples, and implementation guidelines for the filtering process.
docs: Create README for value standardization rules
- Established a comprehensive README outlining various value standardization rules applicable to Heritage Custodian classes.
- Categorized rules into Name Standardization, Geographic Standardization, Web Observation, and Schema Evolution.
feat: Implement transliteration standards for non-Latin scripts
- Added TRANSLIT-ISO rule to ensure GHCID abbreviations are generated from emic names using ISO standards for transliteration.
- Included detailed guidelines for various scripts and languages, along with implementation examples.
feat: Define XPath provenance rules for web observations
- Created XPATH-PROVENANCE rule mandating XPath pointers for claims extracted from web sources.
- Established a workflow for archiving websites and verifying claims against archived HTML.
chore: Update records lifecycle diagram
- Generated a new Mermaid diagram illustrating the records lifecycle for heritage custodians.
- Included phases for active records, inactive archives, and processed heritage collections with key relationships and classifications.
Key changes:
- Created scripts/lib/safe_yaml_update.py with PROTECTED_KEYS constant
- Fixed enrich_custodians_wikidata_full.py to re-read files before writing
(prevents race conditions where another script modified the file)
- Added safety check to abort if protected keys would be lost
- Protected keys include: location, original_entry, ghcid, provenance,
google_maps_enrichment, osm_enrichment, etc.
Root cause of data loss in 62fdd35321:
- Script loaded files into list, then processed them later
- If another script modified files between load and write, changes were lost
- Now files are re-read immediately before modification
Per AGENTS.md Rule 5: NEVER Delete Enriched Data - Additive Only
- Add emic_name, name_language, standardized_name to CustodianName
- Add scripts for enriching custodian emic names from Wikidata
- Add YouTube and Google Maps enrichment scripts
- Update DuckLake loader for new schema fields
- Handle single-letter GLAM type codes (G, L, A, M, O, R, C, etc.)
- Handle legacy GRP.HER.* format
- Support compound types like 'M,F' -> 'MUSEUM,FEATURES'
- Fix type hint syntax for Python 3.10+
- Add fix_yaml_history.py and fix_yaml_history_v2.py for cleaning up
malformed ghcid_history entries with duplicate/redundant data
- Update load_custodians_to_ducklake.py for DuckDB lakehouse loading
- Update migrate_web_archives.py for web archive management
- Update deploy.sh with improvements
- Ignore entire data/ducklake/ directory (generated databases)
Enrichment scripts for country-specific city data:
- enrich_austrian_cities.py, enrich_belgian_cities.py, enrich_belgian_v2.py
- enrich_bulgarian_cities.py, enrich_czech_cities.py, enrich_czech_cities_fast.py
- enrich_japanese_cities.py, enrich_swiss_isil_cities.py, enrich_cities_google.py
Location resolution utilities:
- resolve_cities_from_file_coords.py - Resolve cities using coordinates in filenames
- resolve_cities_wikidata.py - Use Wikidata P131 for city resolution
- resolve_country_codes.py - Standardize country codes
- resolve_cz_xx_regions.py - Fix Czech XX region codes
- resolve_locations_by_name.py - Name-based location lookup
- resolve_regions_from_city.py - Derive regions from city data
- update_ghcid_with_geonames.py - Update GHCIDs with GeoNames data
CH-Annotator integration:
- create_custodian_from_ch_annotator.py - Create custodians from annotations
- add_ch_annotator_location_claims.py - Add location claims
- extract_locations_ch_annotator.py - Extract locations from annotations
Migration and fixes:
- migrate_egyptian_from_ch.py - Migrate Egyptian data
- migrate_web_archives.py - Migrate web archive data
- fix_belgian_cities.py - Fix Belgian city data
Remove 229 custodian YAML files containing invalid characters in GHCIDs:
- Ampersand (&) in abbreviations (e.g., BM&HS, UNL&AG, DR&IMSM)
- Parentheses in abbreviations (e.g., WHO(RA, VK(, SL()
- Unicode characters in filenames (Ö, Ä, Å, É, İ, Ż, etc.)
These files are replaced with corrected versions using alphabetic-only
abbreviations per AGENTS.md Rule 8 (Special Characters MUST Be Excluded).
Related scripts updated for location resolution.
- Introduced `llm_extract_archiveslab.py` script for entity and relationship extraction using LLMAnnotator with GLAM-NER v1.7.0.
- Replaced regex-based extraction with generative LLM inference.
- Added functions for loading markdown content, converting annotation sessions to dictionaries, and generating extraction statistics.
- Implemented comprehensive logging of extraction results, including counts of entities, relationships, and specific types like heritage institutions and persons.
- Results and statistics are saved in JSON format for further analysis.
- Implemented `generate_mermaid_with_instances.py` to create ER diagrams that include all classes, relationships, enum values, and instance data.
- Loaded instance data from YAML files and enriched enum definitions with meaningful annotations.
- Configured output paths for generated diagrams in both frontend and schema directories.
- Added support for excluding technical classes and limiting the number of displayed enum and instance values for readability.
- Implemented a Python script to validate KB library YAML files for required fields and data quality.
- Analyzed enrichment coverage from Wikidata and Google Maps, generating statistics.
- Created a comprehensive markdown report summarizing validation results and enrichment quality.
- Included error handling for file loading and validation processes.
- Generated JSON statistics for further analysis.
- Introduced a comprehensive class diagram for the heritage custodian observation reconstruction schema.
- Defined multiple classes including AllocationAgency, ArchiveOrganizationType, AuxiliaryDigitalPlatform, and others, with relevant attributes and relationships.
- Established inheritance and associations among classes to represent complex relationships within the schema.
- Generated on 2025-11-28, version 0.9.0, excluding the Container class.
- Implemented a Python script that fetches and enriches entries from the NDE Register using data from Wikidata.
- Utilized the Wikibase REST API and SPARQL endpoints for data retrieval.
- Added logging for tracking progress and errors during the enrichment process.
- Configured rate limiting based on authentication status for API requests.
- Created a structured output in YAML format, including detailed enrichment data.
- Generated a log file summarizing the enrichment process and results.
