Triple
T15361517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIFAR-100 |
E367299
|
entity |
| Predicate | hasColorSpace |
P66294
|
FINISHED |
| Object | RGB |
—
|
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: RGB | Statement: [CIFAR-100, hasColorSpace, RGB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColorSpace Context triple: [CIFAR-100, hasColorSpace, RGB]
-
A.
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.
-
B.
coversColorSpace
Indicates that one entity’s color representation range fully includes or spans the color space defined by another entity.
-
C.
hasColorType
Indicates that an entity is associated with a specific category or type of color.
-
D.
hasTristimulusValuesSpace
chosen
Indicates that an entity is associated with or defined within a specific tristimulus color values space (such as an XYZ or RGB color space).
-
E.
hasColorFormat
Indicates that an entity uses or is associated with a specific color representation or encoding format.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.