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The bounded search guide 487

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Why MCP for Wikidata Returns Focused Candidate Sets Instead of Large Raw Results

Anyone who has tried to link messy real-world records to Wikidata learns the same lesson fairly quickly: more search results do not automatically produce better decisions. They often do the opposite. A long dump of possible matches feels comprehensive, but in practice it can bury the strongest candidates under noise, force repeated manual review, and make downstream automation brittle. That is why the design choice in the open-source Wikidata + Google Knowledge Graph MCP

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Getting Started With MCP for Google Knowledge Graph and Wikidata

If you work with entity data long enough, you run into the same practical problem over and over. A name in a local record looks familiar, but not familiar enough. Is this the right person, place, company, or work? Does the record map cleanly to a Wikidata item, or are there two plausible candidates with nearly identical labels? Can you justify the link later, when someone asks why you matched this row to that QID? That is the niche where the open source project often des

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