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Extract-time provenance (#661)
1. Shared Provenance Module - URI generators, namespace constants,
triple builders, vocabulary bootstrap
2. Librarian - Emits document metadata to graph on processing
initiation (vocabulary bootstrap + PROV-O triples)
3. PDF Extractor - Saves pages as child documents, emits parent-child
provenance edges, forwards page IDs
4. Chunker - Saves chunks as child documents, emits provenance edges,
forwards chunk ID + content
5. Knowledge Extractors (both definitions and relationships):
- Link entities to chunks via SUBJECT_OF (not top-level document)
- Removed duplicate metadata emission (now handled by librarian)
- Get chunk_doc_id and chunk_uri from incoming Chunk message
6. Embedding Provenance:
- EntityContext schema has chunk_id field
- EntityEmbeddings schema has chunk_id field
- Definitions extractor sets chunk_id when creating EntityContext
- Graph embeddings processor passes chunk_id through to
EntityEmbeddings
Provenance Flow:
Document → Page (PDF) → Chunk → Extracted Facts/Embeddings
↓ ↓ ↓ ↓
librarian librarian librarian (chunk_id reference)
+ graph + graph + graph
Each artifact is stored in librarian with parent-child linking, and PROV-O
edges are emitted to the knowledge graph for full traceability from any
extracted fact back to its source document.
Also, updating tests
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@ -91,7 +91,12 @@ class DocumentMetadata:
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tags: list[str] = field(default_factory=list)
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# Child document support
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parent_id: str = "" # Empty for top-level docs, set for children
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document_type: str = "source" # "source" or "extracted"
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# Document type vocabulary:
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# "source" - original uploaded document
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# "page" - page extracted from source (e.g., PDF page)
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# "chunk" - text chunk derived from page or source
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# "extracted" - legacy value, kept for backwards compatibility
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document_type: str = "source"
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@dataclass
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class ProcessingMetadata:
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