Triple
T22842267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medipix2 readout chip |
E566112
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | Medipix1 readout chip |
—
|
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: 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.
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 (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.