Triple

T31595113
Position Surface form Disambiguated ID Type / Status
Subject Kisha Arbëreshe E806198 entity
Predicate usesLiturgicalVestments P42772 FINISHED
Object Byzantine-style vestments 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: Byzantine-style vestments | Statement: [Kisha Arbëreshe, usesLiturgicalVestments, Byzantine-style vestments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesLiturgicalVestments
Context triple: [Kisha Arbëreshe, usesLiturgicalVestments, Byzantine-style vestments]
  • A. hasClericalVestments chosen
    Indicates that one entity possesses or is associated with the clerical vestments (religious garments) of another entity.
  • B. usesLiturgicalColors
    Indicates that one entity employs or applies specific liturgical colors in relation to another entity, typically within a religious or ceremonial context.
  • C. hasLiturgicalColor
    Indicates that something is associated with a specific liturgical color used in religious rites or ceremonies.
  • D. hasLiturgicalSymbol
    Indicates that one entity serves as a liturgical symbol or emblem associated with another entity within a religious or worship context.
  • E. usesAlsoLiturgy
    Indicates that an entity additionally employs or follows a particular liturgy alongside its primary or other liturgical practices.
  • 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_69f348d4891c8190b02bae3c8ecb68b7 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6db6af1d88190989810182354d60f completed May 3, 2026, 5:21 a.m.
PD Predicate disambiguation batch_69f6d82d068c8190940a3200ed760e38 completed May 3, 2026, 5:07 a.m.
Created at: April 30, 2026, 10:30 p.m.