Triple

T2907711
Position Surface form Disambiguated ID Type / Status
Subject Minna E63605 entity
Predicate roadConnection P385 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: [Minna, roadConnection, Kaduna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaduna
Context triple: [Minna, roadConnection, 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. 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.
  • E. Makurdi
    Makurdi is the capital city of Benue State in central Nigeria, serving as an important administrative and commercial hub 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d1dcf881909b3ae58d7cdfd9cd completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b056173a988190be02619d909cdb25 completed March 10, 2026, 5:34 p.m.
Created at: March 6, 2026, 10:11 p.m.