Triple

T16345565
Position Surface form Disambiguated ID Type / Status
Subject Abdullahi Bayero College E396920 entity
Predicate namedAfter P63 FINISHED
Object Abdullahi Bayero E396921 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: Abdullahi Bayero | Statement: [Abdullahi Bayero College, namedAfter, Abdullahi Bayero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abdullahi Bayero
Context triple: [Abdullahi Bayero College, namedAfter, Abdullahi Bayero]
  • A. Abdullahi Bayero chosen
    Abdullahi Bayero was an Emir of Kano in northern Nigeria, recognized as a prominent traditional ruler and patron of education.
  • B. Muhammadu Inuwa Yahaya
    Muhammadu Inuwa Yahaya is a Nigerian politician who serves as the governor of Gombe State.
  • C. Abdullahi Umar Ganduje
    Abdullahi Umar Ganduje is a Nigerian politician and former governor of Kano State who serves as a prominent national leader within the All Progressives Congress (APC).
  • D. Abdullahi Ali Ibrahim
    Abdullahi Ali Ibrahim is a prominent Ethiopian writer recognized for his significant contributions to modern Ethiopian literature.
  • E. Umaru Musa Yar’adua
    Umaru Musa Yar’adua was a Nigerian politician who served as the President of Nigeria from 2007 until his death in 2010.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da0da1808190b6477613a07c7a88 completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db1cd288190a85fa2479369ef4f completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.