Triple
T35652588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WAML |
E1030191
|
entity |
| Predicate | associatedAirportRunwayMarking |
—
|
GENERATED |
| Object | metric |
—
|
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: associatedAirportRunwayMarking Context triple: [WAML, associatedAirportRunwayMarking, metric]
-
A.
hasRunwayMarkings
Indicates that a runway possesses specific painted markings or symbols on its surface.
-
B.
associatedWithRunways
chosen
Indicates a relationship where something (such as an object, facility, or feature) is linked or connected to one or more runways.
-
C.
runwayCharacteristic
Indicates a relationship where specific attributes or features are associated with a runway.
-
D.
runwayInformationAvailableIn
Indicates that information about a runway is available within or through a specified medium, source, or context.
-
E.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
- 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_69f76e0938088190a8f199631e97dec3 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:05 p.m.