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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

1.1 KiB

Raw Blame History

entity_slug, entity_type, vsm_system, type_rationale, vsm_rationale, classified_at

entity_slug	entity_type	vsm_system	type_rationale	vsm_rationale	classified_at
bank_financial_stability_metrics	Element	S3*	Bank Financial Stability Metrics are measurable artifacts that exist as persistent assessment tools rather than processes or relationships, representing specific quantitative instruments used to evaluate banking performance.	These metrics function as audit and inspection mechanisms that monitor compliance and integrity within the banking system, directly serving the oversight and control functions characteristic of S3*.	2026-02-23T10:46:17.895832

Classification: Bank Financial Stability Metrics

Entity Type

Element

VSM System

S3*

Type Rationale

Bank Financial Stability Metrics are measurable artifacts that exist as persistent assessment tools rather than processes or relationships, representing specific quantitative instruments used to evaluate banking performance.

VSM Rationale

These metrics function as audit and inspection mechanisms that monitor compliance and integrity within the banking system, directly serving the oversight and control functions characteristic of S3*.

1.1 KiB Raw Blame History