You are building a structured data extraction system using Claude. The system extracts information from…

Question

You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.

Testing reveals that when source documents are missing certain specifications, the model fabricates plausible-sounding values to satisfy your schema's required fields. For example, a document mentioning only dimensions receives a fabricated "weight: 2.3 kg" in the extraction output.

What schema design change most effectively addresses this hallucination behavior?

Accepted Answer

A. Change fields that may not exist in source documents from required to optional, allowing the model to omit them

Answer

B. Add explicit instructions to the prompt stating "only extract information explicitly stated in the document; use placeholder text for missing values"

Answer

C. Add a "confidence" field alongside each specification where the model self-reports its certainty, then filter out low-confidence extractions

Answer

D. Implement semantic validation that verifies each extracted value appears in or can be inferred from the source document text

Question 100