Triple
T1095685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOTal Elastic and diffractive cross section Measurement |
E24265
|
entity |
| Predicate | dataTakingEnergy |
P5351
|
FINISHED |
| Object | 7 TeV center-of-mass energy |
—
|
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: 7 TeV center-of-mass energy | Statement: [TOTal Elastic and diffractive cross section Measurement, dataTakingEnergy, 7 TeV center-of-mass energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dataTakingEnergy Context triple: [TOTal Elastic and diffractive cross section Measurement, dataTakingEnergy, 7 TeV center-of-mass energy]
-
A.
beamEnergy
chosen
Indicates the amount of energy carried by or assigned to a beam in a physical or engineered system.
-
B.
typicalEnergyRange
Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
-
C.
storesEnergyAs
Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
-
D.
maximumProtonEnergy
Indicates the highest energy value that protons can attain in a given system, process, or context.
-
E.
designedCenterOfMassEnergy
Indicates that one entity specifies the intended or planned center-of-mass energy at which another entity (such as an experiment, collider, or process) is meant to operate.
- 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_69a4940542308190ac2a0b1f730b7cfc |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b99e92308190b8a8c499e1630672 |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b743175481908f3967e589717c55 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.