Triple
T33848382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPU |
E867543
|
entity |
| Predicate | associatedAirportRunwayOrientation |
—
|
GENERATED |
| Object | 01/19 |
—
|
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: associatedAirportRunwayOrientation Context triple: [SEPU, associatedAirportRunwayOrientation, 01/19]
-
A.
associatedWithRunways
Indicates a relationship where something (such as an object, facility, or feature) is linked or connected to one or more runways.
-
B.
hasRunwayOrientation
chosen
Indicates that a runway is aligned or oriented in a specific directional heading.
-
C.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
D.
numberOfRunways
Indicates the quantity of runways associated with a given entity, such as an airport or airfield.
-
E.
runwayInformationAvailableIn
Indicates that information about a runway is available within or through a specified medium, source, or context.
- 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_69f349937b648190a34ada70f6a2b534 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:47 a.m.