Triple

T22842286
Position Surface form Disambiguated ID Type / Status
Subject Medipix Collaboration E566113 entity
Predicate technology P1485 FINISHED
Object Medipix pixel detector family 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: Medipix pixel detector family | Statement: [Medipix Collaboration, technology, Medipix pixel detector family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medipix pixel detector family
Context triple: [Medipix Collaboration, technology, Medipix pixel detector family]
  • A. 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.
  • 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. 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.
  • D. 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.
  • E. 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.
  • 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: Medipix pixel detector family
Target entity description: The Medipix pixel detector family is a series of advanced single-photon counting semiconductor detectors used for high-resolution imaging in applications such as particle physics, medical imaging, and material science.
  • A. 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.
  • 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. 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.
  • D. Medipix Collaboration chosen
    The Medipix Collaboration is an international research consortium that designs and develops advanced pixel detector technologies for high-resolution particle and radiation imaging.
  • E. 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.
  • 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_69e245869e188190a196584f36e682da completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e855abc8190b9cf8cc515090a7f completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:35 p.m.