Triple
T1096151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEP |
E24275
|
entity |
| Predicate | maximumCentreOfMassEnergy |
P3955
|
FINISHED |
| Object | around 209 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 209 GeV | Statement: [LEP, maximumCentreOfMassEnergy, around 209 GeV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumCentreOfMassEnergy Context triple: [LEP, maximumCentreOfMassEnergy, around 209 GeV]
-
A.
designedCenterOfMassEnergy
chosen
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.
-
B.
maximumProtonEnergy
Indicates the highest energy value that protons can attain in a given system, process, or context.
-
C.
beamEnergy
Indicates the amount of energy carried by or assigned to a beam in a physical or engineered system.
-
D.
hasCenterOfMassMomentum
Indicates that one entity possesses or is characterized by a specific value of momentum associated with its center of mass.
-
E.
finalKineticEnergy
Indicates the amount of kinetic energy an entity possesses at the end of a specified process or time interval.
- 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_69a4b99ffb3481908cd168b6c58e1c6d |
completed | March 1, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69a4b7448c148190a3c9a4158ebd05b4 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.