Triple
T23269549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XENON10 |
E588249
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | dark matter detector |
C19859
|
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: dark matter detector Context triple: [XENON10, instanceOf, dark matter 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.
dark sector search experiment
chosen
A dark sector search experiment is a scientific investigation designed to detect or constrain hypothetical particles and forces beyond the Standard Model that interact very weakly with ordinary matter, such as dark photons or dark matter candidates.
-
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 detector
A particle detector is a device or system that identifies, tracks, and measures properties of subatomic particles produced in physical processes or experiments.
-
E.
Belle II subdetector
A Belle II subdetector is a specialized component of the Belle II particle physics experiment that performs a distinct detection or measurement function, such as tracking, particle identification, or energy measurement, within the overall detector system.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
Created at: April 17, 2026, 4:45 p.m.