feat(pipeline): F2+F3 action/object ontology — DB-backed normalization

Migrates ACTION_TYPES (26+8 types), _NEGATIVE_PATTERNS (22), _ACTION_SYNONYMS
(65), and _OBJECT_SYNONYMS (75) from hardcoded dicts to DB tables.

- SQL migration: 003_action_object_ontology.sql (3 tables)
- Migration scripts: f2_migrate_actions.py (34 types, 145 synonyms), f3_migrate_objects.py (75 objects)
- OntologyRegistry cache: 5min TTL, raises RuntimeError if empty (safe fallback to dicts)
- control_ontology.classify_action/get_phase delegate to DB with dict fallback
- control_dedup.normalize_action/normalize_object delegate to DB with dict fallback
- 25 new tests, 446 total pass, 0 regressions

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

control-pipeline/services/control_dedup.py

@@ -126,22 +126,29 @@ _ACTION_SYNONYMS: dict[str, str] = {
 
 
 def normalize_action(action: str) -> str:
-    """Normalize an action verb to a canonical English form."""
+    """Normalize an action verb to a canonical English form.
+
+    Delegates to DB-backed OntologyRegistry with dict fallback.
+    """
+    try:
+        from .ontology_registry import get_ontology_registry
+        return get_ontology_registry().normalize_action(action)
+    except Exception:
+        pass
+
+    # Fallback: original logic
     if not action:
         return ""
     action = action.strip().lower()
-    # Strip German infinitive/conjugation suffixes for lookup
     action_base = re.sub(r"(en|t|st|e|te|tet|end)$", "", action)
-    # Try exact match first, then base form
     if action in _ACTION_SYNONYMS:
         return _ACTION_SYNONYMS[action]
     if action_base in _ACTION_SYNONYMS:
         return _ACTION_SYNONYMS[action_base]
-    # Fuzzy: check if action starts with any known verb
     for verb, canonical in _ACTION_SYNONYMS.items():
         if action.startswith(verb) or verb.startswith(action):
             return canonical
-    return action  # fallback: return as-is
+    return action
 
 
 # ── Object Normalization ─────────────────────────────────────────────
@@ -237,7 +244,19 @@ _OBJECT_KEYS_SORTED = sorted(_OBJECT_SYNONYMS.keys(), key=len, reverse=True)
 
 
 def normalize_object(obj: str) -> str:
-    """Normalize a compliance object to a canonical token."""
+    """Normalize a compliance object to a canonical token.
+
+    Delegates to DB-backed OntologyRegistry with dict fallback.
+    """
+    # Try DB-backed registry first
+    try:
+        from .ontology_registry import get_ontology_registry
+        result = get_ontology_registry().normalize_object(obj)
+        if result != obj.strip().lower():
+            return result
+    except Exception:
+        pass
+
     if not obj:
         return ""
     obj_lower = obj.strip().lower()