Triple

T12276334
Position Surface form Disambiguated ID Type / Status
Subject Jagaban Borgu E292598 entity
Predicate region P40 FINISHED
Object Borgu E274612 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: Borgu | Statement: [Jagaban Borgu, region, Borgu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borgu
Context triple: [Jagaban Borgu, region, Borgu]
  • A. Borgu region chosen
    The Borgu region is a historical area in West Africa, spanning parts of present-day Nigeria and Benin, known for its distinct Borgu kingdoms and cultural traditions.
  • B. Korandjé
    Korandjé is a highly endangered Northern Songhay language spoken in the oasis town of Tabelbala in southwestern Algeria.
  • C. Assosa
    Assosa is a town in western Ethiopia that serves as the administrative and economic center of the Benishangul-Gumuz Region near the Sudanese border.
  • D. Yassa
    Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
  • E. Balewa
    Balewa is a Nigerian surname most prominently associated with Abubakar Tafawa Balewa, the country’s first Prime Minister after independence.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf06cf08190ac8671dd9bbed03d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e6d72d081908c8697257df712f1 completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.