Triple

T9011224
Position Surface form Disambiguated ID Type / Status
Subject Kanuri people E215476 entity
Predicate historicalRegion P915 FINISHED
Object Bornu E208970 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: Bornu | Statement: [Kanuri people, historicalRegion, Bornu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bornu
Context triple: [Kanuri people, historicalRegion, Bornu]
  • A. Bornu chosen
    Bornu was a prominent historical region in northeastern Nigeria and surrounding areas, known as the core territory of the powerful Kanem-Bornu Empire dominated by the Kanuri people.
  • B. Hadejia Emirate
    Hadejia Emirate is a traditional Islamic state and historic Hausa-Fulani polity in present-day northern Nigeria that emerged as one of the constituent emirates of the Sokoto Caliphate.
  • C. Kanem Region
    Kanem Region is an administrative region in western Chad known for its arid Sahelian landscape and historical ties to the medieval Kanem Empire.
  • D. Bongor
    Bongor is a town in southwestern Chad situated along the Logone River near the border with Cameroon.
  • E. Dutse
    Dutse is a city in northern Nigeria that serves as the administrative and economic center of Jigawa State.
  • 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_69ca83a2bf088190986ee7a8eb90407d completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc69c1571881908d0b144786b5ee1f completed April 1, 2026, 12:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb9dca848190952427bb5712081f completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:06 p.m.