Triple

T2035478
Position Surface form Disambiguated ID Type / Status
Subject Duke blue E44615 entity
Predicate hasCMYK P21943 FINISHED
Object 100,85,5,36 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: 100,85,5,36 | Statement: [Duke blue, hasCMYK, 100,85,5,36]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCMYK
Context triple: [Duke blue, hasCMYK, 100,85,5,36]
  • A. hasFilmColorType
    Indicates that a film is associated with a particular color process or color classification (e.g., color, black-and-white).
  • B. hasImprintType
    Indicates that an entity (such as a publication or product) is associated with a specific type or category of imprint.
  • C. hasPrintFeature
    Indicates that an entity possesses a specific printing-related characteristic or capability.
  • D. hasColorProcess chosen
    Indicates a relationship where an entity is associated with a specific method or process used to apply, change, or manage its color.
  • E. hasImprintStatus
    Indicates that an entity has a particular imprint-related status or condition assigned to it.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb934ff948190acd88d4f587463a4 completed March 7, 2026, 5:35 a.m.
PD Predicate disambiguation batch_69abb7a8125881909c0cb58b777c1faa completed March 7, 2026, 5:29 a.m.
Created at: March 4, 2026, 7:39 p.m.