Triple
T8712034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aqua-Lung |
E206799
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | open-circuit scuba apparatus |
C24928
|
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: open-circuit scuba apparatus Context triple: [Aqua-Lung, instanceOf, open-circuit scuba apparatus]
-
A.
bathyscaphe
A bathyscaphe is a self-propelled, deep-diving submersible vessel designed to explore and operate at extreme ocean depths.
-
B.
aquanaut
An aquanaut is a person who lives and works underwater for extended periods, typically in submerged habitats or during long-duration diving missions, to conduct research, exploration, or technical tasks.
-
C.
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.
-
D.
deep-submergence vehicle
A deep-submergence vehicle is a specialized, highly pressure-resistant underwater craft designed to operate at great ocean depths for exploration, research, inspection, or rescue missions.
-
E.
deep-diving research submersible
A deep-diving research submersible is a specialized, crewed or remotely operated underwater vehicle designed to withstand extreme ocean pressures and carry scientific instruments to explore, observe, and collect data from the deepest parts of the sea.
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:35 p.m.