Unverified50% confidenceFactExact time
Without explicit format constraints, large language models tend to append explanatory text outside the code, which breaks JSON parseability.
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCommon failure modes when large language models return structured data include: extraneous natural language mixed before or after the JSON, inconsistent key name casing, numeric fields returned as string types, and errors in nesting levels.79% similarVerifiedLarge language models are essentially probabilistic text generation systems, lacking the ability to verify external systems in real time, and produce hallucinations when input documents are ambiguous or incomplete.70% similarVerifiedLarge language models themselves are stateless; each API call is independent, and the model does not automatically remember the content of previous conversations.70% similarVerifiedLarge language models have no natural instruction/data layering mechanism at the architectural level and cannot distinguish legitimate instructions from ordinary text in documents69% similar
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