Triple

T32450520
Position Surface form Disambiguated ID Type / Status
Subject Oshima Tsumugi silk E829267 entity
Predicate coloringMethod P132018 FINISHED
Object mud dyeing 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: mud dyeing | Statement: [Oshima Tsumugi silk, coloringMethod, mud dyeing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coloringMethod
Context triple: [Oshima Tsumugi silk, coloringMethod, mud dyeing]
  • A. colorationFunction
    Indicates a relationship where an entity’s coloration serves a particular role or purpose, such as camouflage, signaling, or protection.
  • B. coloredBy chosen
    Indicates that one entity serves as the source, agent, or cause of the color or coloration of another entity.
  • C. coloringAllowance
    Indicates that one entity permits or allocates the use of certain colors or coloring resources to another entity.
  • D. paintingMethod
    Indicates the technique or process used to create a painting or apply paint.
  • E. colorUse
    Indicates that one entity uses, applies, or is associated with a particular color in its appearance, design, or representation.
  • 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_69f3491d2e5c819092b1c9535beff8ec completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f760a35b988190904e6267553ad2fe completed May 3, 2026, 2:50 p.m.
PD Predicate disambiguation batch_69f75eb3d6f081908c933474eb359e3d completed May 3, 2026, 2:41 p.m.
Created at: May 1, 2026, 12:56 a.m.