Triple
T21989180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apparatus for LEP Physics |
E543039
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | particle detector experiment |
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: particle detector experiment Context triple: [Apparatus for LEP Physics, instanceOf, particle detector experiment]
-
A.
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.
-
B.
particle accelerator experiment
A particle accelerator experiment is a scientific setup in which charged particles are accelerated to high energies and collided with targets or other particles to study fundamental forces, particles, and the structure of matter.
-
C.
particle detector design
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.
-
D.
particle physics experiment program
A particle physics experiment program is a coordinated set of software tools, data acquisition systems, and analysis workflows designed to plan, run, and interpret high-energy physics experiments.
-
E.
fixed-target particle physics experiment
A fixed-target particle physics experiment is a setup where a beam of accelerated particles is directed onto a stationary target to study the resulting interactions and reveal fundamental properties of matter and forces.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 8:05 p.m.