Triple
T23269661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GALLEX |
E588251
|
entity |
| Predicate | neutrinoFlavorSensitivity |
P151615
|
FINISHED |
| Object | electron neutrinos |
—
|
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: electron neutrinos | Statement: [GALLEX, neutrinoFlavorSensitivity, electron neutrinos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutrinoFlavorSensitivity Context triple: [GALLEX, neutrinoFlavorSensitivity, electron neutrinos]
-
A.
neutrinoFlavorAtSource
Indicates the specific neutrino flavor (e.g., electron, muon, tau) that a neutrino possesses at its point of origin or production.
-
B.
neutrinoDetectionSignificance
Indicates the statistical strength or confidence level that a detected signal is due to neutrinos rather than background noise or random fluctuations.
-
C.
detectedNeutrinoSource
Indicates that a particular source has been observed and identified as emitting detectable neutrinos.
-
D.
measuredNumberOfLightNeutrinoFamilies
Indicates the experimentally determined count of distinct light neutrino families inferred from measurements.
-
E.
neutrinoBeamType
Indicates the specific type or classification of a neutrino beam used or produced in an experimental or observational context.
- 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957324bc8190b8b53d4b18386151 |
completed | April 29, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:45 p.m.