Triple

T6582345
Position Surface form Disambiguated ID Type / Status
Subject Squares with Concentric Circles E157326 entity
Predicate colorTheoryAspect P29804 FINISHED
Object interaction of adjacent colors 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: interaction of adjacent colors | Statement: [Squares with Concentric Circles, colorTheoryAspect, interaction of adjacent colors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: colorTheoryAspect
Context triple: [Squares with Concentric Circles, colorTheoryAspect, interaction of adjacent colors]
  • A. colorTheory chosen
    Indicates a relationship where principles or concepts about how colors interact, combine, or affect perception are applied or referenced between entities.
  • B. colors
    Indicates that one entity assigns, describes, or provides the color or colors of another entity.
  • C. colorSystem
    Indicates that one entity is a system or scheme used to define, organize, or represent the colors of another entity.
  • D. colorComponent
    Indicates that one entity is a component or constituent part of the overall color of another entity.
  • E. colorReferenceExplains
    Indicates that one color reference serves to clarify, define, or provide explanatory information about another color-related element or notation.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6c07cdf048190945ca5810fb1de88 completed March 27, 2026, 5:38 p.m.
PD Predicate disambiguation batch_69c6acfb462481909cb7aff5af4bca9d completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:54 p.m.