Prompt Engineering — Reliable Structured Data Extraction

I will engineer prompts for reliable structured data extraction — designing extraction instructions that produce consistent JSON or structured output across diverse input documents, with schema enforcement techniques, handling for missing fields, ambiguous content, and conflicting information within the same document. Structured extraction prompts that work on clean, well-formatted documents frequently fail on real-world documents with missing fields, ambiguous content, or atypical formatting — engineering prompts that handle these cases requires explicit instruction for each exception scenario and a schema enforcement approach that prevents the model from producing structurally valid but semantically incorrect extractions.

The engineering covers schema-aligned instruction design, handling instructions for missing and ambiguous fields, conflicting information resolution guidance, output validation prompts, format enforcement techniques beyond JSON mode, and testing across clean, messy, and edge-case documents.