Triple
T22695263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CLICdet |
E561157
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | particle physics detector concept |
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 physics detector concept Context triple: [CLICdet, instanceOf, particle physics detector concept]
-
A.
particle detector design
chosen
Particle detector design is the conceptual process of specifying and optimizing the geometry, materials, and readout systems of a detector to accurately measure and identify particles produced in physical interactions.
-
B.
high‑energy physics instrumentation concept
A high‑energy physics instrumentation concept is a proposed design or methodology for detecting, measuring, or characterizing particles and interactions at very high energies, typically using advanced sensors, electronics, and data acquisition systems.
-
C.
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.
-
D.
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.
-
E.
particle physics collaboration
A particle physics collaboration is a large, often international team of scientists, engineers, and institutions that jointly design, build, operate, and analyze experiments to study fundamental particles and their interactions.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
Created at: April 17, 2026, 3:14 p.m.