Triple
T33203887
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTKView |
E849972
|
entity |
| Predicate | defaultColorPixelFormat |
P89847
|
FINISHED |
| Object | bgra8Unorm |
—
|
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: bgra8Unorm | Statement: [MTKView, defaultColorPixelFormat, bgra8Unorm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultColorPixelFormat Context triple: [MTKView, defaultColorPixelFormat, bgra8Unorm]
-
A.
defaultColorSpaceFor
Indicates that one entity serves as the standard or primary color space used for representing or processing colors in another entity.
-
B.
hasColorFormat
chosen
Indicates that an entity uses or is associated with a specific color representation or encoding format.
-
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.
colorDepth
Indicates the bit-depth used to represent the color information of an image or display, defining how many distinct colors can be shown.
-
E.
inputColorChannels
Indicates the specific color channels that are provided as input to a process, function, or model.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 1, 2026, 1:30 a.m.