Triple
T33925849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly |
E869747
|
entity |
| Predicate | associatedWithMotelJourney |
—
|
GENERATED |
| Object | cross-country trip in the United States |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMotelJourney Context triple: [Dolly, associatedWithMotelJourney, cross-country trip in the United States]
-
A.
journeyedWith
Indicates that one entity traveled or went on a journey together with another entity as companions.
-
B.
associatedWithReservation
Indicates that one entity has a connection or linkage to a specific reservation.
-
C.
associatedHotel
Indicates that there is a relationship linking an entity to a specific hotel with which it is connected or affiliated.
-
D.
reservationLocatedAlong
Indicates that a reservation is situated along, adjacent to, or following the course or extent of a specified linear feature such as a road, river, or boundary.
-
E.
associatedWithFlightsAt
Indicates a relationship where something is connected or linked to specific flights occurring at a particular location or time.
- F. None of above. chosen
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349992c508190aa4afa24a086cc8c |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:49 a.m.