Triple

T1161191
Position Surface form Disambiguated ID Type / Status
Subject Inner Tracking System E24493 entity
Predicate hasComponent P35 FINISHED
Object Silicon Strip Detector
A Silicon Strip Detector is a type of semiconductor particle detector that uses parallel strips of silicon to precisely measure the position and trajectory of charged particles in high-energy physics experiments.
E134965 NE FINISHED

How this triple was built (4 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: Silicon Strip Detector | Statement: [Inner Tracking System, hasComponent, Silicon Strip Detector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silicon Strip Detector
Context triple: [Inner Tracking System, hasComponent, Silicon Strip Detector]
  • A. Silicon Pixel Detector
    The Silicon Pixel Detector is a high-precision tracking device in particle physics experiments that uses finely segmented silicon sensors to measure charged particle trajectories close to the interaction point.
  • B. Silicon Drift Detector
    A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
  • C. Time Projection Chamber
    The Time Projection Chamber is a large gaseous detector used in particle physics experiments to track and identify charged particles in three dimensions with high precision.
  • D. Electromagnetic Calorimeter
    The Electromagnetic Calorimeter is a high-precision detector subsystem used in particle physics experiments to measure the energy and position of electrons and photons produced in high-energy collisions.
  • E. RICH detector
    The RICH detector is a ring-imaging Cherenkov device used in the NA62 experiment at CERN to identify charged particles by measuring the Cherenkov light they emit.
  • 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: Silicon Strip Detector
Triple: [Inner Tracking System, hasComponent, Silicon Strip Detector]
Generated description
A Silicon Strip Detector is a type of semiconductor particle detector that uses parallel strips of silicon to precisely measure the position and trajectory of charged particles in high-energy physics experiments.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Silicon Strip Detector
Target entity description: A Silicon Strip Detector is a type of semiconductor particle detector that uses parallel strips of silicon to precisely measure the position and trajectory of charged particles in high-energy physics experiments.
  • A. Silicon Pixel Detector
    The Silicon Pixel Detector is a high-precision tracking device in particle physics experiments that uses finely segmented silicon sensors to measure charged particle trajectories close to the interaction point.
  • B. Silicon Drift Detector
    A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
  • C. Time Projection Chamber
    The Time Projection Chamber is a large gaseous detector used in particle physics experiments to track and identify charged particles in three dimensions with high precision.
  • D. Electromagnetic Calorimeter
    The Electromagnetic Calorimeter is a high-precision detector subsystem used in particle physics experiments to measure the energy and position of electrons and photons produced in high-energy collisions.
  • E. RICH detector
    The RICH detector is a ring-imaging Cherenkov device used in the NA62 experiment at CERN to identify charged particles by measuring the Cherenkov light they emit.
  • F. None of above. chosen

Provenance (5 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcb1915081908834ced85d09e299 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f15a9ac8190802f66f3699fbbe7 completed March 7, 2026, 6:31 p.m.
NEDg Description generation batch_69ac6f904c8c81908ea352ee440f8244 completed March 7, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69ac7076e494819098b279ac59427b82 completed March 7, 2026, 6:37 p.m.
Created at: March 1, 2026, 7:45 p.m.