Triple

T2534453
Position Surface form Disambiguated ID Type / Status
Subject Eyo Festival E56235 entity
Predicate religiousOrCulturalContext P9028 FINISHED
Object Orisha tradition 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: Orisha tradition | Statement: [Eyo Festival, religiousOrCulturalContext, Orisha tradition]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousOrCulturalContext
Context triple: [Eyo Festival, religiousOrCulturalContext, Orisha tradition]
  • A. religiousCulturalContext chosen
    Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
  • B. religiousTraditions
    Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
  • C. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • D. ethnicReligion
    Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
  • E. religiousCharacteristic
    Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd64a2194819097c66cbeb37fe859 completed March 7, 2026, 7:39 a.m.
PD Predicate disambiguation batch_69abd0c4a5dc819097812db50443420a completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.