# Session Summary: Mexican Wikidata Enrichment - Batch 2 Complete

**Date**: 2025-11-13  
**Session Focus**: Mexican institution Wikidata enrichment - Batch 2 execution and validation

---

## Executive Summary

Successfully completed Batch 2 enrichment of Mexican heritage institutions, adding Wikidata Q-numbers and VIAF identifiers to 4 institutions with perfect name matches (100% fuzzy score). Current Wikidata coverage: **16/117 institutions (13.7%)**.

---

## What We Did

### 1. Batch 2 Script Execution

**Script**: `scripts/enrich_mexico_batch02.py`

**Target Institutions** (4 perfect matches from SPARQL query):
1. ✅ **Archivo General de la Nación** 
   - Wikidata: Q2860534
   - VIAF: 159570855
   
2. ✅ **Museo Frida Kahlo**
   - Wikidata: Q2663377
   - VIAF: 144233695
   
3. ✅ **Museo Soumaya**
   - Wikidata: Q2097646
   - VIAF: 135048064
   
4. ✅ **Museo de Antropología de Xalapa**
   - Wikidata: Q1841655
   - VIAF: 138582541

**Results**:
- ✅ All 4 institutions successfully enriched
- ✅ No duplicates created
- ✅ Enrichment history metadata added with timestamps
- ✅ Coverage increased from 10.3% to 13.7%

---

## Current Dataset Status

**File**: `data/instances/mexico/mexican_institutions_geocoded.yaml`

### Coverage Statistics

| Metric | Count | Percentage |
|--------|-------|------------|
| Total institutions | 117 | 100% |
| With Wikidata ID | 16 | 13.7% |
| With VIAF ID | 12 | 10.3% |
| Batch 1 enriched | 6 | 5.1% |
| Batch 2 enriched | 4 | 3.4% |
| Pre-existing IDs | 6 | 5.1% |

### Complete List of Wikidata-Enriched Institutions

| Institution | Q-Number | Source |
|------------|----------|--------|
| Museo Nacional de Antropología | Q524249 | Pre-existing |
| Museo Nacional de Arte (MUNAL) | Q1138147 | Pre-existing |
| Biblioteca Nacional de México | Q5495070 | Pre-existing |
| Instituto Nacional de Antropología e Historia | Q901361 | Batch 1 (2025-11-12 09:52) |
| Cineteca Nacional | Q1092492 | Batch 1 (2025-11-12 09:52) |
| Fototeca Nacional | Q66432183 | Batch 1 (2025-11-12 09:52) |
| **Archivo General de la Nación** | **Q2860534** | **Batch 2 (2025-11-12 15:51)** |
| **Museo Frida Kahlo** | **Q2663377** | **Batch 2 (2025-11-12 15:51)** |
| **Museo Soumaya** | **Q2097646** | **Batch 2 (2025-11-12 15:51)** |
| **Museo de Antropología de Xalapa** | **Q1841655** | **Batch 2 (2025-11-12 15:51)** |

*Note: 6 additional institutions have Wikidata IDs but appear to have been added during initial data extraction or earlier processing.*

---

## Verification Performed

### Data Integrity Checks

1. ✅ **Identifier Addition**: Wikidata and VIAF identifiers correctly added to `identifiers` array
2. ✅ **Provenance Tracking**: `enrichment_history` entries created with:
   - Enrichment date: `2025-11-12T15:51:51+00:00`
   - Method: `Wikidata SPARQL query + VIAF cross-reference (Batch 2)`
   - Match score: N/A (perfect matches from previous query)
3. ✅ **No Duplicates**: Duplicate detection logic prevented re-enrichment
4. ✅ **URL Formatting**: Identifier URLs correctly formatted:
   - Wikidata: `https://www.wikidata.org/wiki/Q[number]`
   - VIAF: `https://viaf.org/viaf/[number]`

### Sample Record Verification: Museo Soumaya

```yaml
- name: Museo Soumaya
  institution_type: MUSEUM
  identifiers:
    - identifier_scheme: Wikidata
      identifier_value: Q2097646
      identifier_url: https://www.wikidata.org/wiki/Q2097646
    - identifier_scheme: VIAF
      identifier_value: '135048064'
      identifier_url: https://viaf.org/viaf/135048064
  provenance:
    enrichment_history:
      - enrichment_date: 2025-11-12T15:51:51.459641+00:00
        enrichment_method: Wikidata SPARQL query + VIAF cross-reference (Batch 2)
```

---

## Next Steps

### Immediate Priorities

1. **Validate Medium-Confidence Matches** (70-80% fuzzy scores)
   - Review 3 candidate institutions from previous SPARQL query:
     - Q2917489 vs "Museo Regional de Puebla" (79%)
     - Q1402600 vs "Museo de las Culturas de Oaxaca" (71%)
     - Q1954283 vs "Museo Universitario Arte Contemporáneo" (70%)
   - Manually verify name variations and institution identity
   - Create Batch 3 script if matches are confirmed

2. **Expand Wikidata Query Coverage**
   - Run SPARQL query with OFFSET to discover additional Mexican institutions
   - Target: Find 10-15 more institutions (reach 20-25% coverage)
   - Query variations to try:
     - Search by Mexican city names (Ciudad de México, Guadalajara, Monterrey, etc.)
     - Search by institution type (Q33506 for museums, Q7075 for libraries)
     - Search by P131 (located in administrative territory) for Mexican states

3. **Create Batch 3+ Scripts**
   - Design script for next set of verified matches
   - Continue iterative enrichment process
   - Document each batch with match confidence scores

### Long-Term Goals

**Coverage Targets**:
- **Phase 1** (Current): 13.7% → 20% (24/117 institutions)
- **Phase 2**: 20% → 35% (41/117 institutions)
- **Phase 3**: 35% → 50% (59/117 institutions)

**Quality Assurance**:
- Implement manual verification workflow for matches <85% confidence
- Cross-reference with Mexican ISIL registry (if available)
- Validate institution identities using official websites

**Documentation**:
- Create enrichment methodology document
- Document name variation patterns for Mexican institutions
- Build fuzzy matching configuration for Spanish language

---

## Technical Notes

### Script Pattern (Reusable for Future Batches)

```python
# Key components of batch enrichment scripts:
1. Load YAML dataset
2. Define target institutions with Q-numbers and VIAF IDs
3. Duplicate detection (skip already-enriched)
4. Add identifiers to institution records
5. Update provenance.enrichment_history
6. Write updated YAML
7. Report statistics
```

### Enrichment Metadata Structure

```yaml
provenance:
  enrichment_history:
    - enrichment_date: "2025-11-12T15:51:51+00:00"
      enrichment_method: "Wikidata SPARQL query + VIAF cross-reference (Batch N)"
      match_score: [optional - for fuzzy matches]
      verified: [optional - for manual verification]
```

### Lessons Learned

1. **Perfect Matches First**: Prioritizing 100% fuzzy score matches minimizes false positives
2. **Duplicate Detection**: Essential to prevent identifier duplication in re-runs
3. **Provenance Tracking**: Enrichment history enables audit trails and batch tracking
4. **VIAF Cross-Reference**: Wikidata → VIAF lookup adds valuable authority control identifiers

---

## Files Modified

1. **Data File**: `data/instances/mexico/mexican_institutions_geocoded.yaml`
   - Added 4 Wikidata identifiers
   - Added 4 VIAF identifiers
   - Updated 4 provenance records

2. **Script Created**: `scripts/enrich_mexico_batch02.py`
   - Pattern-based enrichment workflow
   - Reusable for future batches

---

## References

- **Previous Session**: `SESSION_SUMMARY_20251112_MEXICO_RECONCILIATION.md`
- **Batch 1 Script**: `scripts/enrich_mexico_batch01.py`
- **Dataset**: `data/instances/mexico/mexican_institutions_geocoded.yaml`
- **Wikidata Query**: Previous SPARQL query for Mexican institutions (100 results)

---

## Handoff for Next Session

**Status**: ✅ Batch 2 complete - Ready for Batch 3 planning

**To Resume**:
1. Review medium-confidence matches (70-80% scores)
2. Query Wikidata with OFFSET=100 for additional institutions
3. Create Batch 3 script for next set of verified matches

**Key Question**: Should we validate the 3 medium-confidence matches manually, or expand the Wikidata query first to find more high-confidence matches?

**Current Progress**: 16/117 institutions (13.7%) - 101 institutions remaining without Wikidata identifiers.