Triple

T11796992
Position Surface form Disambiguated ID Type / Status
Subject dilogún E280525 entity
Predicate relatedSystem P37 FINISHED
Object Ifá divination E55732 NE 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: Ifá divination | Statement: [dilogún, relatedSystem, Ifá divination]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ifá divination
Context triple: [dilogún, relatedSystem, Ifá divination]
  • A. Ifa chosen
    Ifa is a Yoruba divination and spiritual system centered on a complex corpus of sacred texts and the guidance of the deity Orunmila.
  • B. Abakuá
    Abakuá is an Afro-Cuban fraternal and religious society with roots in West African traditions, known for its secret rituals, music, and strong communal bonds.
  • C. Orís
    Orís is a small municipality in the comarca of Osona in Catalonia, Spain, known for its rural landscape and traditional Catalan character.
  • D. Vodun
    Vodun is a traditional West African religion centered on the worship of spirits and ancestors, particularly prominent in Benin and neighboring regions.
  • E. Oworonshoki
    Oworonshoki is a densely populated waterfront suburb in Lagos, Nigeria, located on the mainland along the Lagos Lagoon.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a1cda0819092d66a82fd882786 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166dbcb848190a5942ec00a2ca2f9 completed April 29, 2026, 2:03 a.m.
Created at: April 8, 2026, 9:42 p.m.