Triple
T1184051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNGS |
E25204
|
entity |
| Predicate | neutrinoFlavorAtSource |
P24992
|
FINISHED |
| Object | muon neutrino |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: muon neutrino | Statement: [CNGS, neutrinoFlavorAtSource, muon neutrino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutrinoFlavorAtSource Context triple: [CNGS, neutrinoFlavorAtSource, muon neutrino]
-
A.
measuredNumberOfLightNeutrinoFamilies
Indicates the experimentally determined count of distinct light neutrino families inferred from measurements.
-
B.
leptonNumber
Indicates that a specified lepton number value is assigned to or conserved by a given particle or interaction in a physical process.
-
C.
primaryBeamSource
Indicates that an entity serves as the originating source of a primary beam used or produced by another entity.
-
D.
neutronSpectrum
Indicates the energy distribution or range of neutrons present in a given system, interaction, or environment.
-
E.
isGaugeBosonOf
Indicates that one particle serves as the gauge boson mediating the fundamental interaction associated with another entity (such as a force or symmetry group).
- F. None of above. chosen
Provenance (4 batches)
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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd37b4a88190bb71a2d272c5fd1a |
completed | March 1, 2026, 10:27 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:45 p.m.