Triple

T22521843
Position Surface form Disambiguated ID Type / Status
Subject Akure North E556799 entity
Predicate borderedBy P224 FINISHED
Object Akure South 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: Akure South | Statement: [Akure North, borderedBy, Akure South]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akure South
Context triple: [Akure North, borderedBy, Akure South]
  • A. Akure South chosen
    Akure South is a local government area in Ondo State, Nigeria, that encompasses much of the urban and administrative core of the city of Akure.
  • B. Akure North
    Akure North is a local government area in Ondo State, southwestern Nigeria, that administers the communities surrounding the city of Akure.
  • C. Akure Division
    Akure Division is an administrative area in Ondo State, Nigeria, encompassing Akure and its surrounding local government jurisdictions.
  • D. Akure
    Akure is the capital city of Ondo State in southwestern Nigeria, known as an important administrative and commercial center in the region.
  • E. Suldal
    Suldal is a large rural municipality in southwestern Norway known for its fjords, mountains, and hydroelectric power production.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e32b8a88190ac335d4298dd5ee3 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.