Triple

T13686617
Position Surface form Disambiguated ID Type / Status
Subject Afe Babalola University E328146 entity
Predicate city P40 FINISHED
Object Ado-Ekiti E136071 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: Ado-Ekiti | Statement: [Afe Babalola University, city, Ado-Ekiti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ado-Ekiti
Context triple: [Afe Babalola University, city, Ado-Ekiti]
  • A. Ado-Ekiti chosen
    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.
  • B. 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.
  • C. Ilorin
    Ilorin is a major city in western Nigeria and the capital of Kwara State, known as a historic Yoruba and Islamic cultural center.
  • D. Ijebu-Ode
    Ijebu-Ode is a historic Yoruba town in southwestern Nigeria known as a traditional political and cultural center of the Ijebu people.
  • E. Ilorin East
    Ilorin East is a local government area in Kwara State, Nigeria, known for encompassing part of the greater Ilorin metropolitan region.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd08852a08190b9983e0c3058671a completed May 7, 2026, 5:48 p.m.
Created at: April 9, 2026, 9:53 p.m.