Triple

T24470167
Position Surface form Disambiguated ID Type / Status
Subject Črnomelj E617075 entity
Predicate hasTraditionalCostumes P66644 FINISHED
Object White Carniola folk costumes 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: White Carniola folk costumes | Statement: [Črnomelj, hasTraditionalCostumes, White Carniola folk costumes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalCostumes
Context triple: [Črnomelj, hasTraditionalCostumes, White Carniola folk costumes]
  • 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. hasTraditionalDance
    Indicates that an entity is associated with, practices, or possesses a specific traditional dance.
  • C. traditionalDressVariant
    Indicates that one traditional dress is a variant or localized form of another traditional dress within the same broader cultural or stylistic tradition.
  • D. traditionalDressColor
    Indicates the color associated with an entity’s traditional or customary dress or clothing.
  • E. traditionalDressSimilarTo
    Indicates that one traditional dress resembles or shares notable stylistic or cultural features with another traditional dress.
  • 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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f299432b2881909502f9cbc7e4dbb0 completed April 29, 2026, 11:50 p.m.
PD Predicate disambiguation batch_69f287d76c7c81909494f12e606a9149 completed April 29, 2026, 10:36 p.m.
Created at: April 18, 2026, 2:20 a.m.