Triple

T14694973
Position Surface form Disambiguated ID Type / Status
Subject Kaduna Polytechnic E345130 entity
Predicate locatedIn P40 FINISHED
Object Kaduna 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 | Statement: [Kaduna Polytechnic, locatedIn, Kaduna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaduna
Context triple: [Kaduna Polytechnic, locatedIn, Kaduna]
  • 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. Kaduna State
    Kaduna State is a major administrative and economic state in northwestern Nigeria, known for its diverse population, educational institutions, and role as a political and industrial hub in the region.
  • D. 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.
  • E. Kano State
    Kano State is a populous and economically significant state in northern Nigeria, known for its historic city of Kano and its role as a major commercial and cultural center in the region.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb586e7108190be644db9cf9a4d99 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dba87c481908084c3cba5df3fcd completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:28 a.m.