Triple

T22823150
Position Surface form Disambiguated ID Type / Status
Subject Calle 13 E565278 entity
Predicate associatedAct P37 FINISHED
Object Orishas NE NERFINISHED

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: Orishas | Statement: [Calle 13, associatedAct, Orishas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orishas
Context triple: [Calle 13, associatedAct, Orishas]
  • A. Orís
    Orís is a small municipality in the comarca of Osona in Catalonia, Spain, known for its rural landscape and traditional Catalan character.
  • B. Orixa
    Orixa is a small genus of flowering shrubs in the citrus family Rutaceae, native to East Asia and known for its aromatic foliage.
  • C. Orisha chosen
    Orisha are deities or divine spirits in the Yoruba religion, each embodying specific natural forces, human traits, and aspects of daily life, and serving as intermediaries between humans and the supreme god.
  • D. Lucumí
    Lucumí is a liturgical Afro-Cuban language variety derived mainly from Yoruba, used in Santería/Regla de Ocha religious rituals.
  • E. Babalú-Ayé
    Babalú-Ayé is a major Orisha in the Yoruba and Afro-Cuban religious traditions, revered as the powerful deity of disease, healing, and protection from epidemics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd2005081909baef070124eb839 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:34 p.m.