Unverified50% confidenceFactExact time
Structured data (such as schema.org) provides entity, author, and date signals that help models attribute claims to specific sources.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAssertion-based schemas ground each step of the model's judgment in concrete and verifiable behavioral evidence, thereby producing auditable coding.75% similarUnverifiedStructured output and Schema constraints require the model to return predefined enumeration values (such as a category list) and give a confidence level, then use code to verify field completeness, so as to ensure that downstream systems can use it directly.69% similarUnverifiedForm parsing requires localization and attribution capabilities, meaning the ability to precisely pinpoint the exact location of each value in the source document.64% similarUnverifiedStructuring screening criteria into templates such as the PICO framework (Population, Intervention, Comparison, Outcome) and embedding them in prompts elicits more accurate model judgments than simple natural-language instructions.64% similarUnverifiedThe role of infer_signature is to automatically infer the schema of the model's input data and output format and serialize them into the model metadata, which is used for request body format validation when deploying an endpoint.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1035712API
curl https://kongchang.com/api/v1/knowledge/claims/1035712MCP
get_claim(id=1035712)