Triple

T13637812
Position Surface form Disambiguated ID Type / Status
Subject NG-EK E325895 entity
Predicate hasSubdivisionName P12497 FINISHED
Object Ekiti E64287 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: Ekiti | Statement: [NG-EK, hasSubdivisionName, Ekiti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ekiti
Context triple: [NG-EK, hasSubdivisionName, Ekiti]
  • A. Ekiti
    Ekiti are a subgroup of the Yoruba people of southwestern Nigeria, known for their distinct dialect, rich cultural traditions, and strong emphasis on education.
  • B. Ilorin
    Ilorin is a major city in western Nigeria and the capital of Kwara State, known as a historic Yoruba and Islamic cultural center.
  • C. Ado-Ekiti
    Ado-Ekiti is the capital and largest city of Ekiti State in southwestern Nigeria, known as an administrative, educational, and commercial center for the surrounding region.
  • D. Ekiti State chosen
    Ekiti State is a landlocked, predominantly Yoruba-speaking state in southwestern Nigeria known for its hilly terrain and strong emphasis on education.
  • E. Ondo
    Ondo is a historic Yoruba town in southwestern Nigeria known for its traditional monarchy, cultural heritage, and role as a regional commercial center.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a84cc4819098a975e33250c89b completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af297008190b12256c936714213 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.