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This paper presents a production extraction layer that converts heterogeneous documents into an ontology-aligned knowledge graph using a locally hosted tuned Qwen LLM, with ontology-guided prompts, multi-stage deduplication, and embedding-based resolution. Evaluation on intelligence corpora improved search recall from about 70 to 95 percent with no false merges.