Triple

T12299044
Position Surface form Disambiguated ID Type / Status
Subject Bukola Saraki E293167 entity
Predicate name P16 FINISHED
Object Bukola Saraki E293167 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: Bukola Saraki | Statement: [Bukola Saraki, name, Bukola Saraki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bukola Saraki
Context triple: [Bukola Saraki, name, Bukola Saraki]
  • A. Bukola Saraki chosen
    Bukola Saraki is a Nigerian politician and former governor of Kwara State who served as President of the Nigerian Senate from 2015 to 2019.
  • B. Olusola Saraki
    Olusola Saraki was a prominent Nigerian politician and influential power broker from Kwara State who served as a senator during the Second Republic.
  • C. 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.
  • D. Bola Tinubu
    Bola Tinubu is a Nigerian politician and former governor of Lagos State who became president of Nigeria in 2023.
  • E. Babatunde Fashola
    Babatunde Fashola is a Nigerian lawyer and politician who served as Governor of Lagos State and later as the country’s Minister of Power, Works and Housing.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93eda55148190b720e479163d36e7 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f634667db88190ac1368dc38daac73 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:52 p.m.