Understanding Candidate Evidence in MCP for Wikidata
When people talk about entity resolution against Wikidata, they often jump straight to the happy path: search a name, grab a QID, move on. In practice, that is where mistakes start. The hard part is rarely finding a candidate. The hard part is deciding whether the candidate is good enough to trust, whether the evidence is thin, and whether uncertainty should stop the workflow. That is why candidate evidence matters so much in the emerging tooling around MCP for Wikida
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