Triple
T29046032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EC75 |
E735138
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | helicopter model |
C54628
|
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: helicopter model Context triple: [EC75, instanceOf, helicopter model]
-
A.
prototype helicopter
A prototype helicopter is an experimental rotary-wing aircraft built to test and refine new aerodynamic designs, propulsion systems, or technologies before they enter full-scale production.
-
B.
helicopter concept
A helicopter concept is an abstract representation of a rotary-wing aircraft’s essential characteristics, including its structure, propulsion, control systems, and operational capabilities, independent of any specific physical instance.
-
C.
piston-powered helicopter
A piston-powered helicopter is a rotary-wing aircraft whose main rotor is driven by one or more reciprocating (piston) engines, typically used for light-duty, training, or private operations due to their lower cost and complexity compared to turbine-powered helicopters.
-
D.
helicopter training platform
A helicopter training platform is a specialized system or environment that provides realistic, controlled conditions for pilots to learn, practice, and refine helicopter operation and emergency procedures.
-
E.
twin-engine helicopter
A twin-engine helicopter is a rotary-wing aircraft equipped with two independent engines that provide increased power, redundancy, and safety for missions such as transport, search and rescue, and offshore operations.
- 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_69f077e64b88819094d37bdbca8191b3 |
completed | April 28, 2026, 9:03 a.m. |
Created at: April 28, 2026, 10:05 a.m.