Triple

T36228669
Position Surface form Disambiguated ID Type / Status
Subject Sitalá E891177 entity
Predicate hasIndigenousDress P66644 FINISHED
Object traditional Tzeltal clothing 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: traditional Tzeltal clothing | Statement: [Sitalá, hasIndigenousDress, traditional Tzeltal clothing]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasIndigenousDress
Context triple: [Sitalá, hasIndigenousDress, traditional Tzeltal clothing]
  • A. hasTraditionalAttire chosen
    Indicates that an entity possesses or is associated with clothing that is customary or traditional within a particular culture or community.
  • B. traditionalDressVariant
    Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
  • C. nationalDress
    Indicates that an item of clothing is recognized as the traditional or customary dress associated with a particular nation or culture.
  • D. traditionalDressColor
    Indicates the color associated with an entity’s traditional or customary dress or clothing.
  • E. hasTraditionalDressInfluenceFrom
    Indicates that the traditional dress of one entity is influenced or shaped by the traditional dress of another entity.
  • 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_69f76e4387048190a1b27bcbf4ec7423 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a00acf86e4081909aad9356650e0f79 completed May 10, 2026, 4:06 p.m.
PD Predicate disambiguation batch_6a00ac813fd08190a0a7782609e74e70 completed May 10, 2026, 4:04 p.m.
Created at: May 3, 2026, 4:09 p.m.