Triple
T5767122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALEPH |
E127241
|
entity |
| Predicate | dataTakingEnergyRange |
P1457
|
FINISHED |
| Object | around the Z boson mass (~91 GeV) |
—
|
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: around the Z boson mass (~91 GeV) | Statement: [ALEPH, dataTakingEnergyRange, around the Z boson mass (~91 GeV)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTakingEnergyRange Context triple: [ALEPH, dataTakingEnergyRange, around the Z boson mass (~91 GeV)]
-
A.
typicalEnergyRange
chosen
Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
-
B.
beamEnergy
Indicates the amount of energy carried by or assigned to a beam in a physical or engineered system.
-
C.
operationalRange
Indicates the span of conditions (such as distance, time, or environment) within which a system, device, or process can function effectively and safely.
-
D.
dataTakingPeriodNumber
Indicates the specific sequential period or interval during which data is collected or recorded.
-
E.
beamEnergyUnit
Indicates the unit of measurement used to express the energy of a beam.
- F. None of above.
Provenance (3 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:49 p.m.