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>

examples/infospace-with-history/output/evaluations/bank_interest_rate_determination.md

@@ -0,0 +1,63 @@
+---
+entity_slug: bank_interest_rate_determination
+evaluator: null
+evaluated_at: '2026-02-23T00:42:33.432863'
+overall_score: 4.0
+scores:
+- name: definition_precision
+  value: 4.0
+  max_value: 5.0
+  rationale: The definition clearly describes a specific economic process - how banks
+    set interest rates based on various factors. It avoids circularity and identifies
+    distinct inputs (market conditions, risk, operational needs) and outputs (loan/deposit
+    rates).
+- name: source_grounding
+  value: 4.0
+  max_value: 5.0
+  rationale: Smith does analyze banking operations and interest rate mechanisms in
+    Book II, Chapter 2, examining how banks influence credit allocation and economic
+    activity. The entity accurately reflects his discussion of banking's role in capital
+    distribution.
+- name: domain_placement
+  value: 5.0
+  max_value: 5.0
+  rationale: '"Exchange" is the correct domain placement since interest rate determination
+    is fundamentally about the exchange of money over time and the pricing of credit
+    in financial markets.'
+- name: vsm_relevance
+  value: 3.0
+  max_value: 5.0
+  rationale: This entity spans multiple VSM systems - it involves S1 (operational
+    lending), S2 (coordination of rates across markets), and S4 (environmental adaptation
+    to market conditions). While VSM-relevant, it doesn't map cleanly to a single
+    system.
+- name: explanatory_value
+  value: 4.0
+  max_value: 5.0
+  rationale: The entity illuminates a key mechanism in Smith's analysis - how interest
+    rates serve as signals for capital allocation and affect economic efficiency.
+    It explains the structural relationship between banking decisions and broader
+    economic outcomes.
+---
+
+# Evaluation: Bank Interest Rate Determination
+
+## definition_precision — 4.0 / 5.0
+
+The definition clearly describes a specific economic process - how banks set interest rates based on various factors. It avoids circularity and identifies distinct inputs (market conditions, risk, operational needs) and outputs (loan/deposit rates).
+
+## source_grounding — 4.0 / 5.0
+
+Smith does analyze banking operations and interest rate mechanisms in Book II, Chapter 2, examining how banks influence credit allocation and economic activity. The entity accurately reflects his discussion of banking's role in capital distribution.
+
+## domain_placement — 5.0 / 5.0
+
+"Exchange" is the correct domain placement since interest rate determination is fundamentally about the exchange of money over time and the pricing of credit in financial markets.
+
+## vsm_relevance — 3.0 / 5.0
+
+This entity spans multiple VSM systems - it involves S1 (operational lending), S2 (coordination of rates across markets), and S4 (environmental adaptation to market conditions). While VSM-relevant, it doesn't map cleanly to a single system.
+
+## explanatory_value — 4.0 / 5.0
+
+The entity illuminates a key mechanism in Smith's analysis - how interest rates serve as signals for capital allocation and affect economic efficiency. It explains the structural relationship between banking decisions and broader economic outcomes.