Triple
T6010598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ILC detector concepts |
E133820
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | particle detector design |
C19763
|
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: particle detector design Context triple: [ILC detector concepts, instanceOf, particle detector design]
-
A.
particle detector
A particle detector is a device or system that identifies, tracks, and measures properties of subatomic particles produced in physical processes or experiments.
-
B.
neutrino detector
A neutrino detector is a highly sensitive instrument or facility designed to observe and measure elusive neutrinos by capturing their rare interactions with matter, often deep underground or underwater to shield from background radiation.
-
C.
particle accelerator
A particle accelerator is a machine that uses electromagnetic fields to propel charged particles to high speeds and direct them into beams for research, medical, or industrial applications.
-
D.
general-purpose detector
A general-purpose detector is a versatile sensing component that identifies and signals the presence, absence, or change of various physical or logical conditions across multiple domains or applications.
-
E.
CERN accelerator complex component
A CERN accelerator complex component is a specialized physical or control-system element—such as magnets, RF cavities, beamlines, detectors, or power and cooling infrastructure—that collectively enables the production, acceleration, steering, and monitoring of particle beams for experimental research.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
Created at: March 22, 2026, 4:06 p.m.