Triple
T34006822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KBLV |
E871987
|
entity |
| Predicate | supportsMilitaryAirlift |
—
|
GENERATED |
| Object | yes |
—
|
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: supportsMilitaryAirlift Context triple: [KBLV, supportsMilitaryAirlift, yes]
-
A.
supportsAircraft
Indicates that one entity is capable of accommodating, carrying, or enabling the operation of an aircraft.
-
B.
supportsMedEvacOperations
Indicates the capability or role of providing assistance, resources, or infrastructure necessary to conduct medical evacuation operations.
-
C.
militarySupportActivity
Indicates an action where one entity provides military-related assistance, resources, or operational support to another.
-
D.
airliftedExternallyBy
Indicates that an entity is transported through the air by an external carrier or mechanism, rather than by its own power.
-
E.
airliftType
chosen
Indicates the specific method or category of air transport used to move people or goods, such as emergency, military, or logistical airlift.
- 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_69f349a08848819084b348d64c1879c3 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:50 a.m.