Triple
T32008104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Wells Airport |
E817325
|
entity |
| Predicate | supportsMedicalEvacuationFlights |
—
|
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: supportsMedicalEvacuationFlights Context triple: [Norman Wells Airport, supportsMedicalEvacuationFlights, true]
-
A.
supportsMedEvacOperations
chosen
Indicates the capability or role of providing assistance, resources, or infrastructure necessary to conduct medical evacuation operations.
-
B.
medicalEvacuationCapacity
Indicates the ability or resources available to transport and care for patients during a medical evacuation operation.
-
C.
airSupport
Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
-
D.
supportsCharterFlights
Indicates that one entity provides the capability or service of operating or accommodating charter flights for another entity.
-
E.
supportsAircraft
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an 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_69f348f9e5d081908cc3f57c4942af52 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:15 a.m.