Triple

T22842315
Position Surface form Disambiguated ID Type / Status
Subject Medipix Collaboration E566113 entity
Predicate producedGeneration P39015 FINISHED
Object Medipix3
Medipix3 is a third-generation hybrid pixel detector chip designed for high-resolution, energy-sensitive X-ray and particle imaging in scientific and medical applications.
E1558893 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: Medipix3 | Statement: [Medipix Collaboration, producedGeneration, Medipix3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medipix3
Context triple: [Medipix Collaboration, producedGeneration, Medipix3]
  • A. Medipix Collaboration
    The Medipix Collaboration is an international research consortium that designs and develops advanced pixel detector technologies for high-resolution particle and radiation imaging.
  • B. 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.
  • C. Medipix1 readout chip
    The Medipix1 readout chip is an early pixelated semiconductor detector ASIC developed at CERN for counting individual ionizing radiation quanta with high spatial resolution.
  • D. 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.
  • E. 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.
  • 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: Medipix3
Triple: [Medipix Collaboration, producedGeneration, Medipix3]
Generated description
Medipix3 is a third-generation hybrid pixel detector chip designed for high-resolution, energy-sensitive X-ray and particle imaging in scientific and medical applications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Medipix3
Target entity description: Medipix3 is a third-generation hybrid pixel detector chip designed for high-resolution, energy-sensitive X-ray and particle imaging in scientific and medical applications.
  • A. Medipix Collaboration
    The Medipix Collaboration is an international research consortium that designs and develops advanced pixel detector technologies for high-resolution particle and radiation imaging.
  • B. 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.
  • C. Medipix1 readout chip
    The Medipix1 readout chip is an early pixelated semiconductor detector ASIC developed at CERN for counting individual ionizing radiation quanta with high spatial resolution.
  • D. 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.
  • E. 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.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e855abc8190b9cf8cc515090a7f completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae841b30819099e9d478c2b367df completed May 19, 2026, 12:27 a.m.
NEDg Description generation batch_6a0bafc79dd081909aa987aab3ed330d completed May 19, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb07b997c819098e64124a575a020 completed May 19, 2026, 12:36 a.m.
Created at: April 17, 2026, 3:35 p.m.