Triple

T2755745
Position Surface form Disambiguated ID Type / Status
Subject Rashidi Yekini E61095 entity
Predicate placeOfBirth P1 FINISHED
Object Kaduna, Nigeria 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, Nigeria | Statement: [Rashidi Yekini, placeOfBirth, Kaduna, Nigeria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaduna, Nigeria
Context triple: [Rashidi Yekini, placeOfBirth, Kaduna, Nigeria]
  • 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. 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.
  • C. Ibadan
    Ibadan is one of the largest and most populous cities in southwestern Nigeria, historically significant as a major Yoruba cultural and economic center.
  • D. Ile-Ife
    Ile-Ife is an ancient Yoruba city in southwestern Nigeria revered as the spiritual and cultural cradle of the Yoruba people and renowned for its sophisticated early art and urban civilization.
  • E. Kano
    Kano is a major commercial and industrial city in northern Nigeria and one of the country’s oldest urban centers.
  • 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_69ab4b7a85bc819094a349b84beb1f2c completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb718f4c8190bfc34c6597163ebc completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe896a38c81908695305d91c8a7d9 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:56 p.m.