Triple
T30358382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | X-Trans CMOS |
E772206
|
entity |
| Predicate | hasColorFilterArrayType |
P203203
|
FINISHED |
| Object | X-Trans color filter array |
—
|
NE NERFINISHED |
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: X-Trans color filter array | Statement: [X-Trans CMOS, hasColorFilterArrayType, X-Trans color filter array]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorFilterArrayType Context triple: [X-Trans CMOS, hasColorFilterArrayType, X-Trans color filter array]
-
A.
colorFilterArraySize
Indicates the dimensions or total size of the color filter array used to capture color information in an imaging system.
-
B.
hasColorType
Indicates that an entity is associated with a specific category or type of color.
-
C.
hasColorRange
Indicates that an entity possesses or is associated with a specific span or set of colors, rather than a single discrete color.
-
D.
hasColorFormat
Indicates that an entity uses or is associated with a specific color representation or encoding format.
-
E.
hasColorStructure
Indicates that an entity possesses a specific arrangement or pattern of colors.
- F. None of above. chosen
Provenance (4 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_69f2248c6f5c8190a6177842bf791a3c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a013b78bde881909a082beced4e0157 |
completed | May 11, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_6a013acf45508190a999b208066072bd |
completed | May 11, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_6a013b7808f08190979d68007e1882c6 |
completed | May 11, 2026, 2:14 a.m. |
Created at: April 29, 2026, 7:57 p.m.