Triple
T9634852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeeman slower |
E232902
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | laser cooling device |
C26749
|
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: laser cooling device Context triple: [Zeeman slower, instanceOf, laser cooling device]
-
A.
cryogenic instrument
A cryogenic instrument is a device designed to operate at extremely low temperatures to measure, manipulate, or observe physical phenomena with minimal thermal noise.
-
B.
Raman spectrometer
A Raman spectrometer is an analytical instrument that uses monochromatic light to measure inelastically scattered photons from a sample, providing molecular vibrational information for chemical identification and characterization.
-
C.
demonstration device
A demonstration device is a tangible or virtual tool specifically designed to illustrate, explain, or showcase how a concept, process, or system works in an accessible and observable way.
-
D.
liquid-cooled aircraft engine
A liquid-cooled aircraft engine is a piston or reciprocating powerplant that uses a circulating liquid coolant, typically water or glycol, to absorb and dissipate heat from the engine cylinders and heads, enabling efficient temperature control and reliable operation in flight.
-
E.
liquid-cooled aero engine
A liquid-cooled aero engine is an aircraft powerplant that uses a circulating liquid coolant, typically water or glycol, to absorb and dissipate heat from the engine, enabling higher performance and more consistent operating temperatures than air-cooled designs.
- 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_69ca848940cc8190b97cec654cb3bb4a |
completed | March 30, 2026, 2:11 p.m. |
Created at: March 30, 2026, 8:11 p.m.