Triple
T35820640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 24R at LAX |
E1035488
|
entity |
| Predicate | supportsWidebodyAircraft |
—
|
GENERATED |
| Object | true |
—
|
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: supportsWidebodyAircraft Context triple: [Runway 24R at LAX, supportsWidebodyAircraft, true]
-
A.
supportsWideBodyAircraft
chosen
Indicates that an entity (such as an airport, runway, or gate) is capable of accommodating and handling wide-body aircraft operations.
-
B.
supportsNarrowBodyAircraft
Indicates that one entity is capable of accommodating, servicing, or being compatible with narrow-body aircraft.
-
C.
supportsAircraft
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
-
D.
hasWideBodyVariant
Indicates that an entity has a corresponding wide-body version or variant of itself.
-
E.
supportsSingleEngineAircraft
Indicates that the subject is designed, equipped, or authorized to accommodate or be compatible with single-engine aircraft.
- 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_69f76e185ffc8190880b3cdf51decd38 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:06 p.m.