Triple
T33629247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K2K experiment |
E861502
|
entity |
| Predicate | neutrinoProductionMethod |
P177442
|
FINISHED |
| Object | decay of secondary mesons produced by protons on target |
—
|
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: decay of secondary mesons produced by protons on target | Statement: [K2K experiment, neutrinoProductionMethod, decay of secondary mesons produced by protons on target]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutrinoProductionMethod Context triple: [K2K experiment, neutrinoProductionMethod, decay of secondary mesons produced by protons on target]
-
A.
neutrinoBeamType
Indicates the specific type or classification of a neutrino beam used or produced in an experimental or observational context.
-
B.
neutrinoFlavorAtSource
Indicates the specific neutrino flavor (e.g., electron, muon, tau) that a neutrino possesses at its point of origin or production.
-
C.
detectedNeutrinoSource
Indicates that a particular source has been observed and identified as emitting detectable neutrinos.
-
D.
neutrinoFlavorAtDetection
Indicates the specific neutrino flavor that is observed or identified at the point of detection.
-
E.
neutrinoFlavorSensitivity
Indicates how sensitive a detector, experiment, or process is to distinguishing or responding to different neutrino flavors (e.g., electron, muon, tau).
- 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_69f34981c54c81909b33c3fa2208a52d |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: May 1, 2026, 1:41 a.m.