Unverified50% confidenceFactExact time
Validation tools such as Schema Markup Validator can detect JSON-LD syntax errors and missing required fields, but cannot determine whether the semantics are consistent with visible content, which still requires manual checking.
1
Sources
50%
Confidence
Long-term
Relevance
10/17/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedSchema compliance from any provider only guarantees shape, not semantic correctness; for example, a sign error on an offset row can pass strict JSON-schema validation.77% similarUnverifiedCorrect formatting and seemingly plausible text are insufficient as criteria for checking structured decisions; the consistency among claims, business entities, evidence, explanations, and final labels should be verified independently, separately from JSON validity.73% similarUnverifiedHallucination detection solves the problem of LLMs pretending to have called tools by detecting JSON-style tool calls in the text.71% similarUnverified在每个数据交接点添加JSON Schema校验可将结构性不匹配从运行时深层故障提前到开发阶段即可捕获71% similarUnverifiedShallow verification methods such as string matching and keyword detection will almost inevitably fail when faced with an AI capable of optimization.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1052635API
curl https://kongchang.com/api/v1/knowledge/claims/1052635MCP
get_claim(id=1052635)