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>

markitect/infospace/classification.py

@@ -32,6 +32,13 @@ class EntityClassification:
     classified_by: str = ""   # model name
     classified_at: Optional[datetime] = None
 
+    # Optional — only set when entity_type == "Relation"
+    links_subject: str = ""        # human-readable title of entity A
+    links_subject_slug: str = ""   # slug of entity A
+    links_object: str = ""         # human-readable title of entity B
+    links_object_slug: str = ""    # slug of entity B
+    links_mechanism: str = ""      # one sentence: how A and B are connected
+
     def to_dict(self) -> Dict[str, Any]:
         d: Dict[str, Any] = {
             "entity_slug": self.entity_slug,
@@ -46,6 +53,16 @@ class EntityClassification:
             d["classified_by"] = self.classified_by
         if self.classified_at is not None:
             d["classified_at"] = self.classified_at.isoformat()
+        if self.links_subject:
+            d["links_subject"] = self.links_subject
+        if self.links_subject_slug:
+            d["links_subject_slug"] = self.links_subject_slug
+        if self.links_object:
+            d["links_object"] = self.links_object
+        if self.links_object_slug:
+            d["links_object_slug"] = self.links_object_slug
+        if self.links_mechanism:
+            d["links_mechanism"] = self.links_mechanism
         return d
 
     @classmethod
@@ -61,4 +78,9 @@ class EntityClassification:
             vsm_rationale=data.get("vsm_rationale", ""),
             classified_by=data.get("classified_by", ""),
             classified_at=classified_at,
+            links_subject=data.get("links_subject", ""),
+            links_subject_slug=data.get("links_subject_slug", ""),
+            links_object=data.get("links_object", ""),
+            links_object_slug=data.get("links_object_slug", ""),
+            links_mechanism=data.get("links_mechanism", ""),
         )