Triple
T14693695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thales Sonar 2076 suite |
E345099
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | underwater sensor system |
C27248
|
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: underwater sensor system Context triple: [Thales Sonar 2076 suite, instanceOf, underwater sensor system]
-
A.
underwater detection system
chosen
An underwater detection system is a specialized arrangement of sensors, processing units, and communication components designed to identify, track, and analyze objects or phenomena beneath the water’s surface.
-
B.
autonomous oceanographic instrument
An autonomous oceanographic instrument is a self-contained, untethered device designed to operate independently in marine environments, collecting and transmitting physical, chemical, or biological ocean data over extended periods without direct human intervention.
-
C.
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.
-
D.
deep-sea research vehicle
A deep-sea research vehicle is a specialized submersible designed to explore, observe, and collect data and samples from extreme underwater environments at great ocean depths.
-
E.
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.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:28 a.m.