e5a532a8bc
- Introduced `test_nlp_extractor.py` with unit tests for the InstitutionExtractor, covering various extraction patterns (ISIL, Wikidata, VIAF, city names) and ensuring proper classification of institutions (museum, library, archive). - Added tests for extracted entities and result handling to validate the extraction process. - Created `test_partnership_rdf_integration.py` to validate the end-to-end process of extracting partnerships from a conversation and exporting them to RDF format. - Implemented tests for temporal properties in partnerships and ensured compliance with W3C Organization Ontology patterns. - Verified that extracted partnerships are correctly linked with PROV-O provenance metadata.
53 lines
2 KiB
Python
53 lines
2 KiB
Python
#!/usr/bin/env python3
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"""
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Replace incorrect Wikidata match for Museum of Islamic Art Cairo.
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INCORRECT: Q6940902 (Museum of Islamic Ceramics)
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CORRECT: Q3330629 (Museum of Islamic Art, Cairo)
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"""
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import yaml
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from pathlib import Path
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input_file = Path("data/instances/egypt_institutions_wikidata_corrected.yaml")
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with open(input_file, 'r', encoding='utf-8') as f:
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institutions = yaml.safe_load(f)
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print("🔧 Fixing Museum of Islamic Art Cairo Wikidata match...\n")
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for inst in institutions:
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if inst.get('name') == 'Museum of Islamic Art Cairo':
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identifiers = inst.get('identifiers', [])
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# Find and update Wikidata identifier
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for i, identifier in enumerate(identifiers):
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if identifier.get('identifier_scheme') == 'Wikidata':
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old_qid = identifier.get('identifier_value')
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# Replace with correct Q-number
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identifier['identifier_value'] = 'Q3330629'
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identifier['identifier_url'] = 'https://www.wikidata.org/wiki/Q3330629'
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print(f"✅ CORRECTED: Museum of Islamic Art Cairo")
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print(f" Old: {old_qid} (Museum of Islamic Ceramics) ❌")
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print(f" New: Q3330629 (Museum of Islamic Art) ✅")
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print(f" Method: Manual Wikidata SPARQL verification\n")
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# Update provenance note
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if 'provenance' in inst:
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inst['provenance']['wikidata_match_note'] = (
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"Manually corrected from Q6940902 (Museum of Islamic Ceramics) "
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"to Q3330629 (Museum of Islamic Art) via SPARQL query verification."
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)
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break
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# Write corrected dataset
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with open(input_file, 'w', encoding='utf-8') as f:
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yaml.dump(institutions, f, allow_unicode=True, sort_keys=False, width=120)
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print("="*80)
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print("✅ Museum of Islamic Art Cairo now correctly linked to Q3330629")
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print(f"💾 Updated: {input_file}")
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print("="*80)
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