Triple
T7668407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | proton–antiproton collider at CERN |
E173682
|
entity |
| Predicate | antiprotonsProducedIn |
P78682
|
FINISHED |
| Object |
Antiproton Accumulator
The Antiproton Accumulator was a storage and cooling ring at CERN designed to collect, cool, and accumulate antiprotons for high-energy proton–antiproton collision experiments.
|
E679242
|
NE FINISHED |
How this triple was built (5 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: Antiproton Accumulator | Statement: [proton–antiproton collider at CERN, antiprotonsProducedIn, Antiproton Accumulator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antiproton Accumulator Context triple: [proton–antiproton collider at CERN, antiprotonsProducedIn, Antiproton Accumulator]
-
A.
Antiproton Decelerator
The Antiproton Decelerator is a specialized CERN facility that slows down antiprotons to low energies for precision experiments in antimatter physics.
-
B.
Proton Synchrotron Booster
The Proton Synchrotron Booster is a circular particle accelerator at CERN that increases the energy of protons from the linear accelerator before injecting them into larger synchrotrons in the accelerator complex.
-
C.
SPEAR storage ring
The SPEAR storage ring is an electron storage ring at SLAC National Accelerator Laboratory that historically served as both a particle physics collider and a synchrotron radiation source, forming the basis for later upgrades like SPEAR3.
-
D.
Proton Synchrotron
The Proton Synchrotron is a historic circular particle accelerator at CERN that has played a key role in high-energy physics research and in feeding beams to larger colliders.
-
E.
Fermilab Linac
Fermilab Linac is a linear accelerator at Fermilab that provides high-energy proton beams for subsequent acceleration stages in the laboratory’s particle physics experiments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Antiproton Accumulator Triple: [proton–antiproton collider at CERN, antiprotonsProducedIn, Antiproton Accumulator]
Generated description
The Antiproton Accumulator was a storage and cooling ring at CERN designed to collect, cool, and accumulate antiprotons for high-energy proton–antiproton collision experiments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antiproton Accumulator Target entity description: The Antiproton Accumulator was a storage and cooling ring at CERN designed to collect, cool, and accumulate antiprotons for high-energy proton–antiproton collision experiments.
-
A.
Antiproton Decelerator
The Antiproton Decelerator is a specialized CERN facility that slows down antiprotons to low energies for precision experiments in antimatter physics.
-
B.
Proton Synchrotron Booster
The Proton Synchrotron Booster is a circular particle accelerator at CERN that increases the energy of protons from the linear accelerator before injecting them into larger synchrotrons in the accelerator complex.
-
C.
SPEAR storage ring
The SPEAR storage ring is an electron storage ring at SLAC National Accelerator Laboratory that historically served as both a particle physics collider and a synchrotron radiation source, forming the basis for later upgrades like SPEAR3.
-
D.
Proton Synchrotron
The Proton Synchrotron is a historic circular particle accelerator at CERN that has played a key role in high-energy physics research and in feeding beams to larger colliders.
-
E.
Fermilab Linac
Fermilab Linac is a linear accelerator at Fermilab that provides high-energy proton beams for subsequent acceleration stages in the laboratory’s particle physics experiments.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antiprotonsProducedIn Context triple: [proton–antiproton collider at CERN, antiprotonsProducedIn, Antiproton Accumulator]
-
A.
maximumProtonProtonCentreOfMassEnergy
Indicates the highest center-of-mass energy achievable in proton–proton collisions for a given experimental or physical setup.
-
B.
pairProductionRateDependence
Indicates how the rate at which particle–antiparticle pairs are produced changes as a function of relevant physical parameters (such as energy, field strength, or medium properties).
-
C.
positronBeamPolarization
Indicates the degree and orientation of the spin alignment (polarization) of a beam of positrons in an experiment or system.
-
D.
maximumProtonEnergy
Indicates the highest energy value that protons can attain in a given system, process, or context.
-
E.
hasAntiquark
Indicates that one particle is associated with, or contains, a corresponding antiquark as part of its composition or structure.
- F. None of above. chosen
Provenance (7 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7063dab1881909598b04999b8b690 |
completed | March 27, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89b260000819088d744ea8dc53cd2 |
completed | March 29, 2026, 3:23 a.m. |
| NEDg | Description generation | batch_69c89c037d188190ace1c5e80a43aba0 |
completed | March 29, 2026, 3:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89c698f2c8190b5d2717835bd1d82 |
completed | March 29, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69c7015f7430819099d3ea2781b7cee2 |
completed | March 27, 2026, 10:14 p.m. |
| PDg | Predicate description generation | batch_69c7063cfd78819095c6501fe8d57312 |
completed | March 27, 2026, 10:35 p.m. |
Created at: March 27, 2026, 4 p.m.