Triple
T6087997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OPERA |
E135686
|
entity |
| Predicate | reportedObservationOfNuTauAppearance |
P68580
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [OPERA, reportedObservationOfNuTauAppearance, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reportedObservationOfNuTauAppearance Context triple: [OPERA, reportedObservationOfNuTauAppearance, 2015]
-
A.
neutrinoDetectionSignificance
Indicates the statistical strength or confidence level that a detected signal is due to neutrinos rather than background noise or random fluctuations.
-
B.
neutrinoBurstDetected
Indicates that a sudden, significant increase in neutrino emissions has been observed or recorded.
-
C.
neutrinoBeamDestination
Indicates the target location or object toward which a neutrino beam is directed or intended to travel.
-
D.
measuredNumberOfLightNeutrinoFamilies
Indicates the experimentally determined count of distinct light neutrino families inferred from measurements.
-
E.
hasObservedAsymmetry
Indicates that one entity has detected or recorded an imbalance, difference, or non-uniformity in another entity or in a relationship between entities.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057a6f7588190b265d6005fbaf6b3 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:12 p.m.