Triple

T21989286
Position Surface form Disambiguated ID Type / Status
Subject L3 Collaboration E543041 entity
Predicate usedDetector P136929 FINISHED
Object L3 detector
The L3 detector was a large general-purpose particle physics experiment at CERN’s LEP collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
E1512273 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: L3 detector | Statement: [L3 Collaboration, usedDetector, L3 detector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: L3 detector
Context triple: [L3 Collaboration, usedDetector, L3 detector]
  • A. DØ detector
    The DØ detector is a large particle physics experiment at Fermilab’s Tevatron collider designed to study high-energy proton–antiproton collisions and probe fundamental particles and forces.
  • B. K_L and muon detector
    The K_L and muon detector is a Belle II subdetector designed to identify long-lived neutral kaons and muons by detecting their interactions in layers of absorber and active material surrounding the inner detector components.
  • C. Compact Muon Solenoid
    The Compact Muon Solenoid (CMS) is a large general-purpose particle detector at CERN’s Large Hadron Collider designed to investigate a wide range of high-energy physics phenomena, including the Higgs boson and potential new particles.
  • D. Irvine–Michigan–Brookhaven detector
    The Irvine–Michigan–Brookhaven detector was a large underground water Cherenkov experiment best known for detecting neutrinos from Supernova 1987A and searching for proton decay.
  • E. SLAC Large Detector
    SLAC Large Detector was a particle physics detector at the Stanford Linear Accelerator Center used primarily for precision studies of Z boson decays in electron-positron collisions.
  • 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: L3 detector
Triple: [L3 Collaboration, usedDetector, L3 detector]
Generated description
The L3 detector was a large general-purpose particle physics experiment at CERN’s LEP collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: L3 detector
Target entity description: The L3 detector was a large general-purpose particle physics experiment at CERN’s LEP collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
  • A. DØ detector
    The DØ detector is a large particle physics experiment at Fermilab’s Tevatron collider designed to study high-energy proton–antiproton collisions and probe fundamental particles and forces.
  • B. K_L and muon detector
    The K_L and muon detector is a Belle II subdetector designed to identify long-lived neutral kaons and muons by detecting their interactions in layers of absorber and active material surrounding the inner detector components.
  • C. Compact Muon Solenoid
    The Compact Muon Solenoid (CMS) is a large general-purpose particle detector at CERN’s Large Hadron Collider designed to investigate a wide range of high-energy physics phenomena, including the Higgs boson and potential new particles.
  • D. Irvine–Michigan–Brookhaven detector
    The Irvine–Michigan–Brookhaven detector was a large underground water Cherenkov experiment best known for detecting neutrinos from Supernova 1987A and searching for proton decay.
  • E. SLAC Large Detector
    SLAC Large Detector was a particle physics detector at the Stanford Linear Accelerator Center used primarily for precision studies of Z boson decays in electron-positron collisions.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedDetector
Context triple: [L3 Collaboration, usedDetector, L3 detector]
  • A. usedInDetector
    Indicates that something (e.g., a component, material, or method) is employed as part of a detector or detection system.
  • B. mainDetector chosen
    Indicates that an entity serves as the primary or principal detector in relation to another entity or system.
  • C. detected
    Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
  • D. primaryDetectorType
    Indicates the main kind or category of detector that is used as the primary sensing or measurement component in a given context.
  • E. usesIndicator
    Indicates that one entity employs or relies on another entity as an indicator, signal, or metric for assessment, decision-making, or interpretation.
  • F. None of above.

Provenance (6 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270cb67c81909a3aa2dc61c1894f completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d81c92481909a58757f929f904c completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e18d4f48190bfb917c9c9109ea5 completed May 18, 2026, 1:40 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6ee56684819082d2001b2e817ed8 completed May 18, 2026, 1:44 a.m.
PD Predicate disambiguation batch_69e6f6154e408190acc5b2c278acaff4 completed April 21, 2026, 3:59 a.m.
Created at: April 16, 2026, 8:05 p.m.