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/economic_opportunity_geography.md

@@ -0,0 +1,64 @@
+---
+entity_slug: economic_opportunity_geography
+evaluator: null
+evaluated_at: '2026-02-23T05:11:21.702849'
+overall_score: 4.2
+scores:
+- name: definition_precision
+  value: 4.0
+  max_value: 5.0
+  rationale: The definition clearly distinguishes economic opportunity geography as
+    the spatial distribution of opportunities based on specific factors (geographical
+    features, market access, transportation). It avoids circularity and captures a
+    distinct concept about how location determines economic viability.
+- name: source_grounding
+  value: 5.0
+  max_value: 5.0
+  rationale: This entity is strongly grounded in Smith's actual analysis from Book
+    I, Chapter 3, where he explicitly discusses how different economic activities
+    cluster based on geographical advantages like coastal access for trade and navigable
+    rivers for manufacturing. The examples given directly reflect Smith's observations.
+- name: domain_placement
+  value: 4.0
+  max_value: 5.0
+  rationale: '"General Theory" is appropriate as this concept represents a fundamental
+    principle about how geography shapes economic activity patterns. It could potentially
+    fit in a spatial economics domain, but given the infospace structure, General
+    Theory captures its foundational nature well.'
+- name: vsm_relevance
+  value: 3.0
+  max_value: 5.0
+  rationale: This entity has moderate VSM relevance, primarily mapping to S4 (intelligence/environmental
+    adaptation) as it concerns how economic systems adapt to and exploit environmental/geographical
+    constraints and opportunities. However, it's somewhat abstract and doesn't clearly
+    align with operational VSM functions.
+- name: explanatory_value
+  value: 5.0
+  max_value: 5.0
+  rationale: This entity provides excellent explanatory power by illuminating the
+    fundamental mechanism of how geographical factors determine the spatial organization
+    of economic activities. It explains why certain economic structures emerge in
+    specific locations rather than just describing surface phenomena.
+---
+
+# Evaluation: Economic Opportunity Geography
+
+## definition_precision — 4.0 / 5.0
+
+The definition clearly distinguishes economic opportunity geography as the spatial distribution of opportunities based on specific factors (geographical features, market access, transportation). It avoids circularity and captures a distinct concept about how location determines economic viability.
+
+## source_grounding — 5.0 / 5.0
+
+This entity is strongly grounded in Smith's actual analysis from Book I, Chapter 3, where he explicitly discusses how different economic activities cluster based on geographical advantages like coastal access for trade and navigable rivers for manufacturing. The examples given directly reflect Smith's observations.
+
+## domain_placement — 4.0 / 5.0
+
+"General Theory" is appropriate as this concept represents a fundamental principle about how geography shapes economic activity patterns. It could potentially fit in a spatial economics domain, but given the infospace structure, General Theory captures its foundational nature well.
+
+## vsm_relevance — 3.0 / 5.0
+
+This entity has moderate VSM relevance, primarily mapping to S4 (intelligence/environmental adaptation) as it concerns how economic systems adapt to and exploit environmental/geographical constraints and opportunities. However, it's somewhat abstract and doesn't clearly align with operational VSM functions.
+
+## explanatory_value — 5.0 / 5.0
+
+This entity provides excellent explanatory power by illuminating the fundamental mechanism of how geographical factors determine the spatial organization of economic activities. It explains why certain economic structures emerge in specific locations rather than just describing surface phenomena.