Triple

T22695144
Position Surface form Disambiguated ID Type / Status
Subject ND280 E561154 entity
Predicate hasComponent P35 FINISHED
Object Side Muon Range Detectors — NE NERFINISHED

How this triple was built (3 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: Side Muon Range Detectors | Statement: [ND280, hasComponent, Side Muon Range Detectors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Side Muon Range Detectors
Context triple: [ND280, hasComponent, Side Muon Range Detectors]
  • A. 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.
  • B. Micromegas detectors
    Micromegas detectors are high-granularity gaseous particle detectors that provide precise tracking and fast timing for high-energy physics experiments.
  • C. Mu2e experiment
    The Mu2e experiment is a high-energy physics project at Fermilab designed to search for the extremely rare conversion of muons into electrons without neutrinos, probing physics beyond the Standard Model.
  • D. Cherenkov detectors
    Cherenkov detectors are particle detectors that identify and measure high-speed charged particles by capturing the characteristic light they emit when traveling faster than the speed of light in a medium.
  • E. Muon Spectrometer
    The Muon Spectrometer is a specialized ALICE detector subsystem designed to identify and measure muons produced in high-energy heavy-ion collisions at the Large Hadron Collider.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Side Muon Range Detectors
Target entity description: Side Muon Range Detectors are specialized subdetectors used in neutrino experiments to track and measure the energy of muons as they pass through and stop in detector material.
  • A. K_L and muon detector chosen
    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.
  • B. Micromegas detectors
    Micromegas detectors are high-granularity gaseous particle detectors that provide precise tracking and fast timing for high-energy physics experiments.
  • C. Mu2e experiment
    The Mu2e experiment is a high-energy physics project at Fermilab designed to search for the extremely rare conversion of muons into electrons without neutrinos, probing physics beyond the Standard Model.
  • D. Cherenkov detectors
    Cherenkov detectors are particle detectors that identify and measure high-speed charged particles by capturing the characteristic light they emit when traveling faster than the speed of light in a medium.
  • E. Muon Spectrometer
    The Muon Spectrometer is a specialized ALICE detector subsystem designed to identify and measure muons produced in high-energy heavy-ion collisions at the Large Hadron Collider.
  • F. None of above.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789d46c881908176bc8e26f366f6 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.