Triple
T2208629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | muon neutrino |
E50860
|
entity |
| Predicate | isElectricallyNeutral |
P37464
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [muon neutrino, isElectricallyNeutral, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isElectricallyNeutral Context triple: [muon neutrino, isElectricallyNeutral, true]
-
A.
hasElectricCharge
Indicates that an entity possesses a nonzero electric charge as a physical property.
-
B.
isNeutralUnder
Indicates that one entity does not affect, alter, or interact with another in a way that changes its state, value, or behavior.
-
C.
usesNeutral
Indicates that one entity employs or applies something in a neutral, unbiased, or non-aligned manner toward another entity or context.
-
D.
isNeutralSite
Indicates that a location serves as an impartial or non-aligned site for an interaction, event, or relationship between parties.
-
E.
hasNeutronNumber
Indicates that an entity (typically an atom or nuclide) has a specified number of neutrons in its nucleus.
- 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_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. |
| PDg | Predicate description generation | batch_69abc1b912c08190b9d7bc9230e49d1d |
completed | March 7, 2026, 6:12 a.m. |
Created at: March 4, 2026, 7:46 p.m.