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Large language models are improving quickly, but place understanding still breaks in predictable ways: unclear building/POI containment, conflicting addresses, and duplicate or near-duplicate POIs. Graphlication turns Overture themes (Buildings, Places, Addresses, Transportation) into a provenance-aware spatial knowledge graph and retrieves small, evidence-bearing subgraphs for a specific query so an LLM can answer with traceable support. Rather than forcing early "golden record" merges, Graphlication keeps relationships (containment, adjacency, access, candidate conflation) explicit and audit-friendly. The talk shares a repeatable architecture and practical patterns that teams can apply to ship grounded place Q&A, streamline conflation review, and run systematic quality checks.
