Triple
T5681573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | helium-3 |
E125209
|
entity |
| Predicate | neutronDetectionReaction |
P65747
|
FINISHED |
| Object | n + ³He → ³H + p + 764 keV |
—
|
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: n + ³He → ³H + p + 764 keV | Statement: [helium-3, neutronDetectionReaction, n + ³He → ³H + p + 764 keV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutronDetectionReaction Context triple: [helium-3, neutronDetectionReaction, n + ³He → ³H + p + 764 keV]
-
A.
neutronSpectrum
Indicates the energy distribution or range of neutrons present in a given system, interaction, or environment.
-
B.
neutronFluxType
Indicates the specific classification or category of neutron flux characterizing how neutrons are distributed or behave in a given context.
-
C.
neutrinoBurstDetected
Indicates that a sudden, significant increase in neutrino emissions has been observed or recorded.
-
D.
thermalNeutronCaptureCrossSection
Indicates the probability that a nucleus will capture a thermal (low-energy) neutron, expressed as an effective interaction cross-sectional area.
-
E.
neutrinoDetectionSignificance
Indicates the statistical strength or confidence level that a detected signal is due to neutrinos rather than background noise or random fluctuations.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:44 p.m.