feat: Phase 2 complete — 13 Phases of COBOL type classification and test benchmark

P0.6: gcov infrastructure
P1: extract_structure output expansion (11 new feature fields)
P2: Confusion group rule engine (8 pairs + contradiction + backtrack)
P3: 4-factor confidence calculation + quality gate update
P4: 33+2 COBOL program type test samples (22 files, 7 categories)
P5: parametrized/ test data generation engine
P6: japanese_data.py lookup tables
P7-10: Type-specific test suites (~159 parametrized tests)
P11: Full classification pipeline (classify_program) + orchestrator integration
P12: Documentation (module-interfaces, test-plan v3.0, coverage-matrix)

Architecture decisions:
- classification_pipeline/ merged to hina/pipeline/
- parametrized/ as independent module
- japanese_data.py as root-level file
- hina/__all__ only exports classify_program()

Co-Authored-By: Claude <noreply@anthropic.com>

reset_task.py

@@ -0,0 +1,11 @@
+import json
+for tf_name in ["tasks/ec17bf32.json"]:
+    with open(tf_name) as f:
+        d = json.load(f)
+    d["status"] = "queued"
+    d.pop("result", None)
+    d.pop("fields", None)
+    d.pop("debug", None)
+    with open(tf_name, "w") as f:
+        json.dump(d, f)
+    print(f"{tf_name} reset to queued")