Triple

T6088109
Position Surface form Disambiguated ID Type / Status
Subject Timepix pixel detector E135689 entity
Predicate basedOn P98 FINISHED
Object Medipix2 readout chip
The Medipix2 readout chip is a pixelated semiconductor detector ASIC developed at CERN that enables high-resolution, single-photon counting and energy-sensitive imaging for applications in particle physics, medical imaging, and material science.
E566112 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: Medipix2 readout chip | Statement: [Timepix pixel detector, basedOn, Medipix2 readout chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medipix2 readout chip
Context triple: [Timepix pixel detector, basedOn, Medipix2 readout chip]
  • 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. timepix pixel detector
    The Timepix pixel detector is a high-resolution, time-stamping semiconductor pixel sensor technology used in particle physics experiments to precisely track and measure ionizing radiation.
  • C. 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.
  • D. 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.
  • E. Solid-State Imaging camera
    The Solid-State Imaging camera was the primary optical imaging system on NASA's Galileo spacecraft, designed to capture high-resolution images of Jupiter and its moons using a CCD-based detector.
  • 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: Medipix2 readout chip
Triple: [Timepix pixel detector, basedOn, Medipix2 readout chip]
Generated description
The Medipix2 readout chip is a pixelated semiconductor detector ASIC developed at CERN that enables high-resolution, single-photon counting and energy-sensitive imaging for applications in particle physics, medical imaging, and material science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Medipix2 readout chip
Target entity description: The Medipix2 readout chip is a pixelated semiconductor detector ASIC developed at CERN that enables high-resolution, single-photon counting and energy-sensitive imaging for applications in particle physics, medical imaging, and material science.
  • 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. timepix pixel detector
    The Timepix pixel detector is a high-resolution, time-stamping semiconductor pixel sensor technology used in particle physics experiments to precisely track and measure ionizing radiation.
  • C. 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.
  • D. 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.
  • E. Solid-State Imaging camera
    The Solid-State Imaging camera was the primary optical imaging system on NASA's Galileo spacecraft, designed to capture high-resolution images of Jupiter and its moons using a CCD-based detector.
  • 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057a6f7588190b265d6005fbaf6b3 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d65908c8190a9700c0981dabe9a completed March 23, 2026, 11 a.m.
NEDg Description generation batch_69c11dfb27bc81908c7109debc73249d completed March 23, 2026, 11:03 a.m.
NED2 Entity disambiguation (via description) batch_69c11e7a5e7881908d5cc70cc11a58cd completed March 23, 2026, 11:05 a.m.
Created at: March 22, 2026, 4:12 p.m.