Triple
T3616098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NuMI beamline |
E76603
|
entity |
| Predicate | producesParticle |
P490
|
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: [NuMI beamline, producesParticle, muon neutrino]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producesParticle Context triple: [NuMI beamline, producesParticle, muon neutrino]
-
A.
involvesParticleEjection
Indicates that the action or process includes the emission or release of particles from a source.
-
B.
beamParticle
Indicates that one entity directs or projects another entity as a beam-like stream or focused flow.
-
C.
hasParticleType
Indicates that an entity is associated with, composed of, or characterized by a specific type or category of particle.
-
D.
produces
chosen
Indicates that one entity creates, generates, or yields another entity as a result or output.
-
E.
producesFor
Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27c98088190a493c9eddf6b206a |
completed | March 8, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69adb83f1e4c8190ab501c1c05b14c08 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.