Triple

T230784
Position Surface form Disambiguated ID Type / Status
Subject LHCf E4405 entity
Predicate studiesEnergyRange P1457 FINISHED
Object TeV-scale center-of-mass energies 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: TeV-scale center-of-mass energies | Statement: [LHCf, studiesEnergyRange, TeV-scale center-of-mass energies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: studiesEnergyRange
Context triple: [LHCf, studiesEnergyRange, TeV-scale center-of-mass energies]
  • A. typicalEnergyRange chosen
    Indicates the usual or characteristic range of energy values associated with an entity, process, or interaction.
  • B. beamEnergy
    Indicates the amount of energy carried by or assigned to a beam in a physical or engineered system.
  • C. storesEnergyAs
    Indicates that one entity retains or accumulates energy in the form or medium specified by another entity.
  • D. energyType
    Indicates the kind or category of energy associated with an entity or process.
  • E. rangeEPA
    Indicates the EPA-rated driving range that a vehicle can travel on a single charge or tank under standardized test conditions.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25e0868708190ad551ca06cc57f4a completed Feb. 28, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69a25b5a075081909b0e9b88c1492d5a completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.