Triple

T22842267
Position Surface form Disambiguated ID Type / Status
Subject Medipix2 readout chip E566112 entity
Predicate relatedTo P37 FINISHED
Object 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.
E1556976 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: Medipix1 readout chip | Statement: [Medipix2 readout chip, relatedTo, Medipix1 readout chip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medipix1 readout chip
Context triple: [Medipix2 readout chip, relatedTo, Medipix1 readout chip]
  • A. 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.
  • B. 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.
  • C. 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.
  • 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: Medipix1 readout chip
Triple: [Medipix2 readout chip, relatedTo, Medipix1 readout chip]
Generated description
The Medipix1 readout chip is an early pixelated semiconductor detector ASIC developed at CERN for counting individual ionizing radiation quanta with high spatial resolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Medipix1 readout chip
Target entity description: The Medipix1 readout chip is an early pixelated semiconductor detector ASIC developed at CERN for counting individual ionizing radiation quanta with high spatial resolution.
  • A. 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.
  • B. 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.
  • C. 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.
  • 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_6a0ba7b750a08190904c11a33ea19cce completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba84676f8819099e4ad46797387d9 completed May 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba8fa53a88190a0029d884308ffd6 completed May 19, 2026, 12:04 a.m.
Created at: April 17, 2026, 3:35 p.m.