Triple

T2760281
Position Surface form Disambiguated ID Type / Status
Subject Muhammadu Buhari E61201 entity
Predicate succeededBy P78 FINISHED
Object Bola Tinubu E9149 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: Bola Tinubu | Statement: [Muhammadu Buhari, succeededBy, Bola Tinubu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bola Tinubu
Context triple: [Muhammadu Buhari, succeededBy, Bola Tinubu]
  • A. Bola Tinubu chosen
    Bola Tinubu is a Nigerian politician and former governor of Lagos State who became president of Nigeria in 2023.
  • B. Oluremi Tinubu
    Oluremi Tinubu is a Nigerian politician and former First Lady of Lagos State who serves as the First Lady of Nigeria and has been a prominent senator and advocate for social and women’s issues.
  • C. Nuhu Ribadu
    Nuhu Ribadu is a Nigerian lawyer, former head of the Economic and Financial Crimes Commission (EFCC), and prominent anti-corruption crusader who later became a key opposition political figure.
  • D. Bukola Saraki
    Bukola Saraki is a Nigerian politician and former governor of Kwara State who served as President of the Nigerian Senate from 2015 to 2019.
  • E. Muhammadu Buhari
    Muhammadu Buhari is a Nigerian politician and retired major general who served as the President of Nigeria from 2015 to 2023.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd2281b8819094c22ce5e4753bd3 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b261cda3ac8190b8770e554a66f560 completed March 12, 2026, 6:48 a.m.
Created at: March 6, 2026, 9:57 p.m.