Triple
T33834820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LFBP |
E867200
|
entity |
| Predicate | associatedAirportDepartment |
—
|
GENERATED |
| Object | Pyrénées-Atlantiques |
—
|
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: associatedAirportDepartment Context triple: [LFBP, associatedAirportDepartment, Pyrénées-Atlantiques]
-
A.
belongsToAirport
Indicates that one entity is part of, associated with, or under the jurisdiction of a specific airport.
-
B.
belongsToAirportSystem
Indicates that an airport is a member or component of a specific airport system or network.
-
C.
partOfAirportType
Indicates that something is a component or subdivision belonging to a specific type or category of airport.
-
D.
associatedAirport
Indicates a relationship where an entity is linked or connected to a specific airport, typically as its relevant or corresponding airport.
-
E.
associatedHubAirport
Indicates that one entity serves as a primary or hub airport functionally linked to the other entity.
- 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_69f34992ad40819087760ed939bd2a7a |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:47 a.m.