Triple
T6010546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STAR experiment |
E133819
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | nuclear physics detector |
C2616
|
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: nuclear physics detector Context triple: [STAR experiment, instanceOf, nuclear physics detector]
-
A.
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.
-
B.
particle detector
chosen
A particle detector is a device or system that identifies, tracks, and measures properties of subatomic particles produced in physical processes or experiments.
-
C.
nuclear physics laboratory
A nuclear physics laboratory is a specialized research facility equipped with instruments and infrastructure for studying the properties, interactions, and structure of atomic nuclei and subatomic particles.
-
D.
nuclear physics experiment program
A nuclear physics experiment program is a coordinated set of experiments, instrumentation, data acquisition, and analysis activities designed to investigate the properties, interactions, and structure of atomic nuclei under controlled laboratory conditions.
-
E.
nuclear physicist
A nuclear physicist is a scientist who studies the properties, behavior, and interactions of atomic nuclei and subatomic particles, often to understand fundamental forces and develop applications such as nuclear energy, medical imaging, and radiation technologies.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
Created at: March 22, 2026, 4:06 p.m.