d1f57272a4
feat(example): add L2 classifications for 823/988 WoN entities (S3.4)
...
Batch classification via OpenRouter (claude-sonnet-4). 165 entities
remain unclassified due to credit exhaustion; incremental skip means
a follow-up run will complete them automatically.
Type × VSM matrix (823 entities):
S1 S2 S3 S3* S4 S5
Element 86 75 58 21 43 32 (315 total, 38%)
Process 39 42 37 17 67 24 (226 total, 28%)
Institution 4 12 30 24 . 52 (122 total, 15%)
Principle 3 7 15 2 43 32 (102 total, 12%)
Relation 2 14 5 5 22 10 (58 total, 7%)
Matrix fill: 29/30 cells (Institution/S4 empty — expected)
Metrics updated: type_entropy=2.0936, vsm_type_matrix_cells=29
Also:
- BatchEvaluator gains delay_seconds param for rate-limited providers
- classify CLI gains --rpm option (--rpm 10 for Gemini free tier)
- history.write_metrics_file now handles non-float metric values
(type_distribution is a dict, was crashing round())
- run_entity_classification forwards delay_seconds to BatchEvaluator
- classify-links and graph commands added by user (entities --by-type,
graph --format mermaid/dot, classify-links for Relation enrichment)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com >
2026-02-23 12:49:11 +01:00
144a88c0c2
feat(prompts): add batch LLM evaluation orchestrator (S1.6)
...
BatchEvaluator runs evaluation prompts across item batches with
incremental evaluation (skip unchanged via content digest), per-item
error isolation, progress callbacks, and aggregate token usage tracking.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com >
2026-02-19 01:40:13 +01:00
