Data Extraction
The examples teach the model which fields to extract and how to normalize unstructured data into a consistent format, even when the source emails are written very differently.
Extract the key details from each email and return them in a consistent format.
Example 1:
Email: "Hi, I'd like to book a meeting room for 6 people on March 15th from 2-4pm. We need a projector. Thanks, Sarah"
Extracted:
- Requester: Sarah
- Date: March 15
- Time: 2:00 PM - 4:00 PM
- Attendees: 6
- Requirements: Projector
Example 2:
Email: "Can you reserve the large conference room next Tuesday morning for our quarterly review? About 12 people. Video conferencing setup needed. - Mike"
Extracted:
- Requester: Mike
- Date: Next Tuesday
- Time: Morning
- Attendees: 12
- Requirements: Video conferencing
Now extract from this email:
Email: "{{email_text}}"
Extracted:Variables to customize
Why this prompt works
The examples teach the model which fields to extract and how to normalize unstructured data into a consistent format, even when the source emails are written very differently.
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