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.