Triple
T32307773
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NICA collider |
E825413
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | particle collider |
C1693
|
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 collider Context triple: [NICA collider, instanceOf, particle collider]
-
A.
hadron collider
chosen
A hadron collider is a type of particle accelerator that propels hadrons, such as protons or heavy ions, to extremely high energies and smashes them together to study fundamental particles and forces.
-
B.
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.
-
C.
particle accelerator complex
A particle accelerator complex is an integrated facility comprising accelerators, beamlines, detectors, and support infrastructure designed to accelerate charged particles to high energies for research, medical, or industrial applications.
-
D.
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.
-
E.
circular particle accelerator
A circular particle accelerator is a device that uses magnetic fields to guide charged particles around a closed loop while electric fields repeatedly increase their energy for high-speed collisions or experiments.
- 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_69f3491213b88190a57094d8697a7455 |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:45 a.m.