Triple
T4943451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SN 1987A |
E110990
|
entity |
| Predicate | neutrinoDetectionSignificance |
P60190
|
FINISHED |
| Object | first direct detection of neutrinos from a supernova |
—
|
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: first direct detection of neutrinos from a supernova | Statement: [SN 1987A, neutrinoDetectionSignificance, first direct detection of neutrinos from a supernova]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutrinoDetectionSignificance Context triple: [SN 1987A, neutrinoDetectionSignificance, first direct detection of neutrinos from a supernova]
-
A.
neutrinoBeamDestination
Indicates the target location or object toward which a neutrino beam is directed or intended to travel.
-
B.
measuredNumberOfLightNeutrinoFamilies
Indicates the experimentally determined count of distinct light neutrino families inferred from measurements.
-
C.
neutrinoFlavorAtSource
Indicates the specific neutrino flavor (e.g., electron, muon, tau) that a neutrino possesses at its point of origin or production.
-
D.
numberOfMainDetectors
Indicates the quantity of primary detectors associated with or used in a given context or system.
-
E.
numberOfDetectors
Indicates the quantity of detectors associated with or involved in a given entity or system.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a7650c8190b046b65072fd8eae |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd6ff85b50819081d78087caa6b473 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:31 p.m.