Triple
T31148804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 09/27 |
E794008
|
entity |
| Predicate | supportsAircraftOperations |
—
|
GENERATED |
| Object | commercial flights |
—
|
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: supportsAircraftOperations Context triple: [Runway 09/27, supportsAircraftOperations, commercial flights]
-
A.
supportsAircraft
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
-
B.
runwaySupportsAircraftType
Indicates that a particular runway is suitable and certified for use by a specified type of aircraft.
-
C.
hasAircraftOperationsType
chosen
Indicates the specific category or type of aircraft operations associated with an entity, such as commercial, military, or private use.
-
D.
hasRunwayOperations
Indicates that an entity conducts or is involved in operational activities on an airport runway, such as takeoffs, landings, or related ground movements.
-
E.
hasTacticalAviationFacilities
Indicates that an entity possesses or hosts infrastructure and resources specifically designated for tactical aviation operations.
- 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_69f224d41bb48190a5621cd1485e3a30 |
completed | April 29, 2026, 3:33 p.m. |
Created at: April 29, 2026, 9:06 p.m.