Triple
T7253263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IceCube Neutrino Observatory |
E157655
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | neutrino observatory |
C1452
|
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: neutrino observatory Context triple: [IceCube Neutrino Observatory, instanceOf, neutrino observatory]
-
A.
neutrino detector
chosen
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.
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.
-
C.
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.
-
D.
Fermilab experiment
A Fermilab experiment is a high-energy physics research project conducted at the Fermi National Accelerator Laboratory to investigate fundamental particles, forces, and the structure of matter using particle accelerators and detectors.
-
E.
Tevatron experiment
A Tevatron experiment is a high-energy particle physics investigation conducted using the Tevatron proton–antiproton collider at Fermilab to study fundamental particles 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
Created at: March 27, 2026, 2:56 p.m.