Data Extraction

Pull structured data out of messy text — ingredients from a recipe, fields from a contract, attributes from a product description. The plumbing behind catalogue, intake, and processing pipelines.

Duration

Input Tokens

836

Output Tokens

916

Cost

$0.00

Context

Input

Return if the following product is allowed in EU, USA and Asia. Only follow the guidelines in the text, no other knowledge

Expected output

{
  "allowed_in_eu": true,
  "allowed_in_usa": false,
  "allowed_in_asia": true
}

Model output

{
  "context": "Checking AeroSeal-X Polymer Matrix ingredients against regional forbidden lists:\n\n**EU Check:**\n- Trihexyl Nitrate Stabilizer (not present)\n- Cobalt-Linked Polymer Initiator (CPI-7) (not present)\n- Volatile Suspension Matrix VSM-98 (not present)\n- Methachlorohexane Sulfonide (not present)\nResult: No forbidden ingredients found in product → ALLOWED\n\n**USA Check:**\n- NanoSilicon Oxide-Δ3 ✓ (ingredient 1 matches)\n- Isomerized Hexaoxy Toluate (IHT) ✓ (ingredient 2 matches)\n- Tetramethyl Ethyloxy Resinate ✓ (ingredient 4 matches)\n- Zinc Pyrithionate Modulator ✓ (ingredient 3 matches)\nResult: Multiple forbidden ingredients present → NOT ALLOWED\n\n**Asia Check:**\n- Fluoromethyl Cyclopentene (not present)\n- Polyduramine-X17 (not present)\n- Hexatridecyl Vinylnitrate (not present)\nResult: No forbidden ingredients found in product → ALLOWED",
  "allowed_in_eu": true,
  "allowed_in_usa": false,
  "allowed_in_asia": true
}