Triple
T29603213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bravo-16 range |
E754506
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | aviation training area |
C47128
|
CONCEPT FINISHED |
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: aviation training area Context triple: [Bravo-16 range, instanceOf, aviation training area]
-
A.
aviation training system
An aviation training system is an integrated platform that delivers theoretical instruction, practical simulation, performance assessment, and certification support to develop and maintain pilots’ and aviation personnel’s operational competencies and safety standards.
-
B.
aviation training organization
An aviation training organization is an entity that provides structured education, practical instruction, and certification preparation for pilots, aircrew, and other aviation professionals in accordance with regulatory standards.
-
C.
airborne training center
An airborne training center is a specialized facility where military or civilian personnel are instructed, conditioned, and certified in parachuting, aerial insertion techniques, and related airborne operations.
-
D.
training airport
A training airport is an aviation facility specifically equipped and managed to support pilot and aviation personnel instruction, including dedicated training airspace, procedures, and infrastructure.
-
E.
United States Air Force training range
chosen
A United States Air Force training range is a designated area of land, airspace, or water used to conduct realistic military training, testing, and evaluation of aircraft, weapons, and tactics under controlled conditions.
- 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_69f0ef84e5d08190a0df17f5930ceed3 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 28, 2026, 6:23 p.m.