Triple
T29994525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CYOO |
E761982
|
entity |
| Predicate | supportsCorporateAviation |
—
|
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: supportsCorporateAviation Context triple: [CYOO, supportsCorporateAviation, true]
-
A.
hasCorporateAviation
Indicates that an entity operates, owns, or utilizes aircraft or aviation services for corporate or business purposes.
-
B.
supportsCommercialFlights
Indicates that the subject provides the necessary facilities, services, or conditions for regular commercial passenger or cargo flights to operate.
-
C.
servesAviationType
Indicates that one entity provides services or functions specifically for a particular type or category of aviation.
-
D.
supportsAircraft
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
-
E.
supportsSingleEngineAircraft
Indicates that the subject is designed, equipped, or authorized to accommodate or be compatible with single-engine aircraft.
- 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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
Created at: April 29, 2026, 6:39 p.m.