Triple

T15217859
Position Surface form Disambiguated ID Type / Status
Subject Modified National Institute of Standards and Technology database E363685 entity
Predicate imageColorSpace P23097 FINISHED
Object grayscale 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: grayscale | Statement: [Modified National Institute of Standards and Technology database, imageColorSpace, grayscale]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: imageColorSpace
Context triple: [Modified National Institute of Standards and Technology database, imageColorSpace, grayscale]
  • A. coversColorSpace
    Indicates that one entity’s color representation range fully includes or spans the color space defined by another entity.
  • B. colorImaging
    Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
  • C. inputColorChannels
    Indicates the specific color channels that are provided as input to a process, function, or model.
  • D. defaultColorSpaceFor chosen
    Indicates that one entity serves as the standard or primary color space used for representing or processing colors in another entity.
  • E. 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.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69deca8479188190b2e5d3bc708d7d07 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:11 a.m.