Triple
T23269425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAMA/LIBRA |
E588247
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | dark matter direct-detection experiment |
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 direct-detection experiment Context triple: [DAMA/LIBRA, instanceOf, dark matter direct-detection experiment]
-
A.
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.
-
B.
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.
-
C.
cosmology experiment
A cosmology experiment is a scientific investigation designed to measure and analyze cosmic phenomena—such as the cosmic microwave background, large-scale structure, or dark energy—to test and refine models of the universe’s origin, composition, and evolution.
-
D.
neutrino experiment
A neutrino experiment is a scientific investigation designed to detect, measure, and analyze neutrinos and their interactions to study fundamental properties of matter and the universe.
-
E.
long-baseline neutrino experiment
A long-baseline neutrino experiment is a particle physics setup in which a beam of neutrinos is produced at one location and detected hundreds to thousands of kilometers away to study neutrino oscillations and fundamental properties.
- 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.