Triple
T16160190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NBL |
E392156
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Neutral Buoyancy Laboratory |
C19215
|
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: Neutral Buoyancy Laboratory Context triple: [NBL, instanceOf, Neutral Buoyancy Laboratory]
-
A.
space environment simulation laboratory
chosen
A space environment simulation laboratory is a controlled facility that recreates key physical conditions of outer space—such as vacuum, radiation, extreme temperatures, and microgravity—to test and study spacecraft components, materials, and biological systems.
-
B.
submarine escape training facility
A submarine escape training facility is a specialized center equipped with simulators, escape towers, and controlled water environments where submariners are trained in emergency escape procedures, survival techniques, and the use of escape equipment under realistic conditions.
-
C.
Spacelab subsystem
A Spacelab subsystem is a distinct functional component of the Spacelab space laboratory that performs specialized tasks—such as power, life support, data handling, or experiment support—to enable and sustain scientific operations in orbit.
-
D.
bathyscaphe
A bathyscaphe is a self-propelled, deep-diving submersible vessel designed to explore and operate at extreme ocean depths.
-
E.
NASA rocket engine test facility
A NASA rocket engine test facility is a specialized complex equipped with infrastructure, instrumentation, and safety systems to ground-test and validate rocket engines under controlled, flight-like 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
Created at: April 10, 2026, 5:01 a.m.