Triple

T2208395
Position Surface form Disambiguated ID Type / Status
Subject ForwArd Search ExpeRiment E50855 entity
Predicate collisionEnergyContext P23072 FINISHED
Object high-energy proton–proton collisions 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: high-energy proton–proton collisions | Statement: [ForwArd Search ExpeRiment, collisionEnergyContext, high-energy proton–proton collisions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collisionEnergyContext
Context triple: [ForwArd Search ExpeRiment, collisionEnergyContext, high-energy proton–proton collisions]
  • A. collisionType
    Indicates the specific kind or category of collision that occurs between two or more entities.
  • B. centerOfMassEnergy chosen
    Indicates the total energy available in the center-of-mass frame when two or more particles interact or collide.
  • C. beamEnergy
    Indicates the amount of energy carried by or assigned to a beam in a physical or engineered system.
  • D. 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.
  • E. collisionDomain
    Indicates that two or more network entities share the same collision domain, meaning their transmissions can interfere and cause packet collisions with each other.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
PD Predicate disambiguation batch_69abbda8a6dc8190aa855ce2d17194b1 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:46 p.m.