Triple
T6088112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timepix pixel detector |
E135689
|
entity |
| Predicate | hasPixelArray |
P38757
|
FINISHED |
| Object | 256 × 256 pixels |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 256 × 256 pixels | Statement: [Timepix pixel detector, hasPixelArray, 256 × 256 pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPixelArray Context triple: [Timepix pixel detector, hasPixelArray, 256 × 256 pixels]
-
A.
pixelArray
chosen
Indicates a relationship where an entity is represented or stored as an ordered array of pixel values.
-
B.
pixelCount
Indicates the total number of individual pixels that make up a given image or visual element.
-
C.
hasColorModel
Indicates that an entity uses or is associated with a particular color representation model (such as RGB, CMYK, or HSV) for defining its colors.
-
D.
hasImageSurface
Indicates that one entity possesses or is associated with a surface suitable for displaying or bearing an image.
-
E.
hasPDAF
Indicates a relationship where an entity possesses or is equipped with phase-detection autofocus (PDAF) capability.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.