Prompt Tips
Prompt tips
To extract from documents, describe your target data using Sensible’s prompt-authoring environment, Sensible Instruct. Sensible Instruct is a large language model (LLM)-based subset of SenseML, Sensible’s JSON-based document extraction query language. By combining Sensible Instruct and SenseML, you can extract data from a range of document types, from highly structured business forms to unstructured research documents.
See the following topics for tips on configuring extractions in Sensible Instruct:
Method | Example use case | Notes |
---|---|---|
List method | For each vehicle in an auto insurance declaration, extract the VIN, model, and year. | Extracts a list of data out of a document, where you don’t know how the data are represented. |
NLP Table method | For each transaction in a bank statement table, extract the date and amount. | Extracts a list of data out of a document, where you know they’re in a table. |
Query Group method | ”When does the policy period end?""What are the last 4 numbers of the account?” | Extracts a single fact or data point. |
Notes
For layout-based extraction methods, see methods.