Triple

T21990392
Position Surface form Disambiguated ID Type / Status
Subject CIE 1931 XYZ E543065 entity
Predicate underpins P3636 FINISHED
Object CIE L*u*v* color space 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: CIE L*u*v* color space | Statement: [CIE 1931 XYZ, underpins, CIE L*u*v* color space]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CIE L*u*v* color space
Context triple: [CIE 1931 XYZ, underpins, CIE L*u*v* color space]
  • A. CIE 1976 L*u*v* color space chosen
    The CIE 1976 L*u*v* color space is a perceptually uniform color model widely used in color science and industry for accurately quantifying and comparing colors as perceived by human vision.
  • B. CIELAB
    CIELAB is a perceptually uniform color space defined by the International Commission on Illumination (CIE) that represents colors with three coordinates corresponding to lightness and opponent color dimensions.
  • C. CIE 1960 UCS color space
    The CIE 1960 UCS color space is a uniform chromaticity scale developed for more perceptually uniform color representation and widely used in color science, particularly in color difference and color appearance studies.
  • D. CIE color difference formulae
    CIE color difference formulae are standardized mathematical models used to quantify perceived differences between colors in a way that aligns with human visual perception.
  • E. CIE color appearance models
    CIE color appearance models are standardized mathematical frameworks that predict how colors will be perceived under varying viewing conditions, such as changes in illumination, background, and observer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270d7cbc819086eea86be04a2ec0 completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.