Triple
T21989132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | neutral kaon mixing |
E543038
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | flavor oscillation |
C27978
|
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: flavor oscillation Context triple: [neutral kaon mixing, instanceOf, flavor oscillation]
-
A.
flavor-changing process
chosen
A flavor-changing process is a physical interaction in which a particle transforms from one type (flavor) to another, such as a quark or lepton changing its flavor state.
-
B.
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.
-
C.
neutrino physics process
A neutrino physics process is an interaction or transformation involving neutrinos—such as their production, propagation, oscillation, or detection—governed by the weak force and described within the framework of particle physics.
-
D.
asymmetric B-factory experiment
An asymmetric B-factory experiment is a high-luminosity electron-positron collider setup with beams of unequal energies designed to produce boosted B-meson pairs, enabling precise time-dependent studies of CP violation and other properties of B mesons.
-
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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
Created at: April 16, 2026, 8:05 p.m.