Implement Semantic Consolidator V0

- add deterministic canonicalization support for extraction items
- add facts-only semantic consolidation using local Ollama
- preserve source evidence and validate complete fact coverage
- add conservative merge rules and non-LLM tests
- record the first validated real-life consolidation benchmark
- document current scope, limitations and next evaluation step

docs/architecture.md

@@ -195,12 +195,14 @@ Deterministic Canonicalizer:
 Semantic Consolidator:
 
 - uses the local LLM
-- merges semantically equivalent statements
-- groups content by topic
-- preserves evidence from all contributing chunks
-- marks contradictions and uncertainty
-- separates durable information from transient discussion
-- produces Canonical Meeting Knowledge
+- V0 is implemented for facts-only semantic duplicate detection
+- V0 merges semantically equivalent fact items conservatively
+- V0 preserves source references and evidence
+- V0 validates that every source fact appears exactly once
+- V0 does not process non-fact categories semantically
+- later versions should group content by topic, mark contradictions and
+  uncertainty, separate durable information from transient discussion and
+  prepare Canonical Meeting Knowledge
 - does not directly write a protocol
 
 ---
@@ -267,6 +269,7 @@ Implemented:
 - Transcript normalization
 - Technical chunk generation
 - Experimental LLM-based information extraction
+- Canonicalizer V1 deterministic extraction canonicalization
 
 The current extraction step still performs multiple tasks simultaneously.