Triple
T2208638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | muon neutrino |
E50860
|
entity |
| Predicate | hasLeptonNumberForAntiparticle |
P5363
|
FINISHED |
| Object | -1 (muon antineutrino) |
—
|
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: -1 (muon antineutrino) | Statement: [muon neutrino, hasLeptonNumberForAntiparticle, -1 (muon antineutrino)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLeptonNumberForAntiparticle Context triple: [muon neutrino, hasLeptonNumberForAntiparticle, -1 (muon antineutrino)]
-
A.
leptonNumber
chosen
Indicates that a specified lepton number value is assigned to or conserved by a given particle or interaction in a physical process.
-
B.
isOwnAntiparticle
Indicates that an entity is identical to its own antiparticle, meaning it serves simultaneously as both particle and antiparticle in that relationship.
-
C.
hasAntiquark
Indicates that one particle is associated with, or contains, a corresponding antiquark as part of its composition or structure.
-
D.
hasChargeConjugation
Indicates that one entity is the charge-conjugated counterpart (particle vs. antiparticle form) of another entity.
-
E.
hasBranchingRatioToLeptons
Indicates the proportion of a particle’s decays that result in leptons among all its possible decay channels.
- F. None of above.
Provenance (3 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.