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Adapter promotes recurring real-world things — people, companies, reservations, documents — into entities. Each entity has a fixed schema, a stable id, and is resolved across every evidence source it appears in. Entities are derived from evidence. A single person mentioned in an email, a calendar event, and a Slack message resolves to one person entity, with each mention preserved as a citation. Citations returned by Ask carry a type naming the kind of record each cited row is. Reservation entities are cited under a single reservation type, with the specific kind (one of the values below) in the row’s reservation_type field.
All entity_type values
All reservation_type values

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All entity types

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Reservation kinds

Subtypes of reservation, carried in its reservation_type field:

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What each entity carries

The summaries below describe the information you can expect each entity type to carry. Attributes may be added or removed in future releases.

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Reservation

All bookings surface as a single reservation entity, with the specific kind in the reservation_type field. Every reservation carries the booking essentials when present: a confirmation code, the provider, start and end times (in the venue’s local timezone), a location, the named guests or travelers, the price, and the booking status. Each kind adds its own detail on top:
  • car_rental — Rental company, pickup and drop-off times and locations, vehicle class, renter name, and total price.
  • dining — Restaurant name and location, reservation time, party size, the name on the reservation, and cuisine type.
  • event_reservation — Event name, venue and address, start/end times, attendee name, seat or section, ticket count, and total price.
  • flight — The full itinerary: airline, flight numbers, departure/arrival airports and times for every leg and connection, every passenger on the booking, trip type (one-way, round-trip, multi-city), and total price.
  • hotel_stay — Property name and address, check-in/check-out times, guest name, room type, number of nights, and total price.
  • train — Operator, departure and arrival stations and times, passenger name, seat and travel class, and ticket price.

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Document

Title, document type, searchable text content with a preview, and file metadata (format, size, source location).

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Organization

Name and legal name, web domain, contact details, address, industry, parent organization, and public identifiers when available.

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Person

Names (including given/family name variants), email addresses, phone numbers, job title, employer and other affiliations, linked profiles, and when they were first and last seen in your data.

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Purchase

Order number, seller, line items, total amount and currency, order and delivery dates, fulfillment type, and tracking number.