Triple
T32217537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Etawah Junction railway station |
E822967
|
entity |
| Predicate | hasReservationOffice |
—
|
GENERATED |
| Object | yes |
—
|
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: hasReservationOffice Context triple: [Etawah Junction railway station, hasReservationOffice, yes]
-
A.
hasBookingOffice
chosen
Indicates that one entity maintains or is associated with a booking office where reservations or ticketing services are handled for it.
-
B.
hasReservationOf
Indicates that one entity holds or possesses a reservation for another entity (such as a service, resource, or event).
-
C.
isReservationOf
Indicates that a given reservation entity is specifically associated with, or made for, a particular resource, service, or event.
-
D.
hasReservationIn
Indicates that an entity holds or possesses a reservation at or within a specified place, service, or event.
-
E.
hasAssociatedOffice
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
- F. None of above.
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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:37 a.m.