Triple
T18754881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSNI Air Support Unit |
E458624
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | police air support unit |
C37365
|
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: police air support unit Context triple: [PSNI Air Support Unit, instanceOf, police air support unit]
-
A.
airborne law enforcement unit
chosen
An airborne law enforcement unit is a specialized police or security team that uses aircraft to conduct surveillance, support ground operations, pursue suspects, and perform search and rescue or public safety missions from the air.
-
B.
air support unit
An air support unit is a military or emergency response organization equipped with aircraft and personnel to provide reconnaissance, transport, and offensive or defensive support to ground or maritime operations.
-
C.
aviation support unit
An aviation support unit is an organizational entity that provides maintenance, logistics, ground handling, and operational assistance to ensure the effective and safe functioning of aircraft and flight operations.
-
D.
airborne signals unit
An airborne signals unit is a specialized military or intelligence team equipped on aircraft to detect, intercept, analyze, and relay electronic and communications signals from the air.
-
E.
special operations aviation regiment
A special operations aviation regiment is a military aviation unit specialized in providing highly trained air support, insertion, extraction, and logistical capabilities for special operations forces in complex and high-risk environments.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:51 a.m.