Triple

T14797209
Position Surface form Disambiguated ID Type / Status
Subject Adinkra symbols E347811 entity
Predicate traditionalDyeSource P84742 FINISHED
Object badie tree bark dye 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: badie tree bark dye | Statement: [Adinkra symbols, traditionalDyeSource, badie tree bark dye]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalDyeSource
Context triple: [Adinkra symbols, traditionalDyeSource, badie tree bark dye]
  • A. usesDyes
    Indicates that one entity employs or applies dyes in relation to another entity or process.
  • B. canBeDyed
    Indicates that an entity has the property of being able to undergo a dyeing process to change or add color.
  • C. dyeComponent chosen
    Indicates that one entity is a constituent or ingredient used to produce or formulate a dye in relation to another entity.
  • D. hasTraditionalColors
    Indicates that an entity is associated with colors that are traditionally or customarily linked to it.
  • E. traditionalDressColor
    Indicates the color associated with an entity’s traditional or customary dress or clothing.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd6131f08190885f1d27b4bfac7a completed April 14, 2026, 11:27 p.m.
PD Predicate disambiguation batch_69de8c090d1081909b5a9bf437499d6c completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.