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

665

Output Tokens

665

Cost

$0.00

Context

Input

Analyze the following instructions and extract all appliances mentioned. We need to classify them into 3 categories: 'kitchen', 'bathroom', 'other'. These should be the most common location for the appliances

Expected output

{
  "kitchen": [
    "microwave",
    "kettle"
  ],
  "bathroom": [],
  "other": [
    "vacuum cleaner"
  ]
}

Model output

{
  "kitchen": [
    "microwave",
    "kettle"
  ],
  "bathroom": [],
  "other": [
    "vacuum cleaner"
  ]
}