Triple

T16767770
Position Surface form Disambiguated ID Type / Status
Subject Kugbo language E407510 entity
Predicate hasAlternativeName P39 FINISHED
Object Kugbo (Nigeria) E1231994 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: Kugbo (Nigeria) | Statement: [Kugbo language, hasAlternativeName, Kugbo (Nigeria)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kugbo (Nigeria)
Context triple: [Kugbo language, hasAlternativeName, Kugbo (Nigeria)]
  • A. Nsukka, Nigeria
    Nsukka, Nigeria is a university town in southeastern Nigeria known for its influential art scene and as a center of contemporary African art.
  • B. Kugbo chosen
    Kugbo is a lesser-known Niger-Congo language spoken by a small community in Nigeria.
  • C. Igbore
    Igbore is an urban neighborhood within the city of Abeokuta in Ogun State, southwestern Nigeria.
  • D. Bole (Nigeria)
    Bole (Nigeria) is a town in northeastern Nigeria, likely known as a local administrative and commercial center within its region.
  • E. Ganduje
    Ganduje is the surname of Abdullahi Umar Ganduje, a prominent Nigerian politician and former governor of Kano State.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b033d6b88190a1366a58d63b0546 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aafa19888190bb7f96591f363867 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:21 a.m.