Triple

T13872179
Position Surface form Disambiguated ID Type / Status
Subject Kaduna North Local Government Area E333481 entity
Predicate locatedIn P40 FINISHED
Object Kaduna city E66199 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: Kaduna city | Statement: [Kaduna North Local Government Area, locatedIn, Kaduna city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaduna city
Context triple: [Kaduna North Local Government Area, locatedIn, Kaduna city]
  • A. Kaduna chosen
    Kaduna is a major industrial and political center in northern Nigeria, known for its diverse population and role as the capital of Kaduna State.
  • B. city of Katsina
    The city of Katsina is a historic urban center in northern Nigeria that serves as a major cultural, commercial, and Islamic scholarly hub in the region.
  • C. Bauchi
    Bauchi is a prominent city in northeastern Nigeria that serves as the capital of Bauchi State and a key commercial and administrative center in the region.
  • D. Ilorin
    Ilorin is a major city in western Nigeria and the capital of Kwara State, known as a historic Yoruba and Islamic cultural center.
  • E. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fd323be8d48190b0b289f25de06fb1 completed May 8, 2026, 12:45 a.m.
Created at: April 9, 2026, 10:14 p.m.