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tegwick 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
..
checks docs(metrics): clarify C2 coverage — domain×chapter matrix, not domain×VSM 2026-02-20 00:08:46 +01:00
__init__.py feat(infospace): add infospace configuration model and state (S2.1) 2026-02-19 01:44:14 +01:00
classification.py feat(example): add L2 classifications for 823/988 WoN entities (S3.4) 2026-02-23 12:49:11 +01:00
classification_io.py feat(example): add L2 classifications for 823/988 WoN entities (S3.4) 2026-02-23 12:49:11 +01:00
classifier.py feat(example): add L2 classifications for 823/988 WoN entities (S3.4) 2026-02-23 12:49:11 +01:00
cli.py feat(example): add L2 classifications for 823/988 WoN entities (S3.4) 2026-02-23 12:49:11 +01:00
composition.py feat(infospace): add composition model for discipline binding (S2.6) 2026-02-19 02:03:54 +01:00
config.py feat(infospace): add L2 entity classification with type × VSM matrix (S2.9) 2026-02-23 09:35:58 +01:00
entity_parser.py feat(example): add supply-chain-vsm composition demo (S3.5) 2026-02-23 00:08:51 +01:00
evaluate.py feat(infospace): add eval-summary command and improve evaluate pipeline (S3.3) 2026-02-23 01:26:45 +01:00
evaluation.py feat(infospace): add structured evaluation output with history and diffing (S1.5) 2026-02-19 01:35:22 +01:00
evaluation_io.py feat(infospace): add structured evaluation output with history and diffing (S1.5) 2026-02-19 01:35:22 +01:00
history.py feat(example): add L2 classifications for 823/988 WoN entities (S3.4) 2026-02-23 12:49:11 +01:00
models.py feat(infospace): add entity metadata parser (S1.1) 2026-02-19 00:27:45 +01:00
pipeline.py fix(pipeline): retry on all LLM errors (not just rate limits) 2026-02-19 20:32:23 +01:00
relation_models.py feat(infospace): add L3 relation graph with VSM-aware triplets (S2.8) 2026-02-23 06:04:28 +01:00
relation_parser.py feat(infospace): add L3 relation graph with VSM-aware triplets (S2.8) 2026-02-23 06:04:28 +01:00
schema.py feat(infospace): add schema compliance validator (S1.2) 2026-02-19 00:48:57 +01:00
state.py feat(infospace): add infospace configuration model and state (S2.1) 2026-02-19 01:44:14 +01:00
validator.py feat(infospace): add schema compliance validator (S1.2) 2026-02-19 00:48:57 +01:00