feat(example): add per-entity LLM evaluations for 985 WoN entities (S3.3)

Batch evaluation of all 988 entities via OpenRouter. 984 succeeded on
first pass; 3 failed (network errors). eval-summary --update-metrics
written with per_entity_mean=3.9556.

Viability dashboard: 6/6 PASS
  redundancy_ratio   0.0061  (max 0.10)
  coverage_ratio     0.6190  (min 0.40)
  coherence_comps    0.0000  (max 3)
  consistency_cycles 0.0000  (max 0)
  granularity_entropy 2.6748 (min 1.0)
  per_entity_mean    3.9556  (min 3.5)

Dimension breakdown (mean across 985 entities):
  definition_precision  3.62
  source_grounding      4.36
  domain_placement      4.56
  vsm_relevance         3.31
  explanatory_value     3.94

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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---
entity_slug: bank_liquidity_management
evaluator: null
evaluated_at: '2026-02-23T00:42:41.333898'
overall_score: 4.6
scores:
- name: definition_precision
value: 4.0
max_value: 5.0
rationale: The definition clearly distinguishes bank liquidity management as the
specific practice of balancing ready assets for obligations against credit provision
capacity. It avoids circularity and captures a distinct operational concept rather
than a vague umbrella term.
- name: source_grounding
value: 5.0
max_value: 5.0
rationale: This entity is directly grounded in Smith's detailed analysis in Book
II, Chapter 2, where he extensively discusses how banks must manage their cash
reserves and note circulation to meet redemption demands while maintaining profitability.
Smith explicitly examines this balance as fundamental to banking operations.
- name: domain_placement
value: 5.0
max_value: 5.0
rationale: The "Regulation" domain placement is highly appropriate, as liquidity
management represents the internal regulatory mechanisms banks must employ to
maintain stability and meet obligations. This aligns perfectly with Smith's treatment
of banking as requiring careful internal controls.
- name: vsm_relevance
value: 4.0
max_value: 5.0
rationale: This entity maps well to S3 (internal regulation/audit) as it represents
the ongoing monitoring and control processes banks use to maintain operational
stability. It also has elements of S2 (coordination) in managing the balance between
competing demands on bank resources.
- name: explanatory_value
value: 5.0
max_value: 5.0
rationale: This entity illuminates a crucial mechanism Smith identifies for banking
stability and broader economic function. It explains how individual bank practices
aggregate to affect systemic financial stability, providing genuine insight into
the structural relations between banking operations and economic outcomes.
---
# Evaluation: Bank Liquidity Management
## definition_precision — 4.0 / 5.0
The definition clearly distinguishes bank liquidity management as the specific practice of balancing ready assets for obligations against credit provision capacity. It avoids circularity and captures a distinct operational concept rather than a vague umbrella term.
## source_grounding — 5.0 / 5.0
This entity is directly grounded in Smith's detailed analysis in Book II, Chapter 2, where he extensively discusses how banks must manage their cash reserves and note circulation to meet redemption demands while maintaining profitability. Smith explicitly examines this balance as fundamental to banking operations.
## domain_placement — 5.0 / 5.0
The "Regulation" domain placement is highly appropriate, as liquidity management represents the internal regulatory mechanisms banks must employ to maintain stability and meet obligations. This aligns perfectly with Smith's treatment of banking as requiring careful internal controls.
## vsm_relevance — 4.0 / 5.0
This entity maps well to S3 (internal regulation/audit) as it represents the ongoing monitoring and control processes banks use to maintain operational stability. It also has elements of S2 (coordination) in managing the balance between competing demands on bank resources.
## explanatory_value — 5.0 / 5.0
This entity illuminates a crucial mechanism Smith identifies for banking stability and broader economic function. It explains how individual bank practices aggregate to affect systemic financial stability, providing genuine insight into the structural relations between banking operations and economic outcomes.