Triple

T15361466
Position Surface form Disambiguated ID Type / Status
Subject CIFAR-10 E367298 entity
Predicate hasColorChannels P48395 FINISHED
Object 3 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: 3 | Statement: [CIFAR-10, hasColorChannels, 3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasColorChannels
Context triple: [CIFAR-10, hasColorChannels, 3]
  • A. inputColorChannels
    Indicates the specific color channels that are provided as input to a process, function, or model.
  • B. 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.
  • C. imageChannels chosen
    Indicates the number and types of color or data channels present in an image (e.g., RGB, RGBA, grayscale).
  • D. hasColorStructure
    Indicates that an entity possesses a specific arrangement or pattern of colors.
  • 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.