Triple

T14558390
Position Surface form Disambiguated ID Type / Status
Subject Jos North E341601 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Afizere E289555 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: Afizere | Statement: [Jos North, hasEthnicGroup, Afizere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Afizere
Context triple: [Jos North, hasEthnicGroup, Afizere]
  • A. Afizere chosen
    Afizere is a Plateau language spoken by the Afizere (Jarawa) people primarily in and around Jos in central Nigeria.
  • B. Amedzofe
    Amedzofe is a town in the Volta Region of Ghana, known for its mountainous landscape, cool climate, and cultural significance among the Ewe-speaking communities.
  • C. Azumah
    Azumah is a Ghanaian given name most famously borne by legendary world champion boxer Azumah Nelson.
  • D. Anizi
    Anizi refers to a member or native of the Anizah (Anaza) tribe, a large and historically influential Arab tribal confederation originating in the Arabian Peninsula.
  • E. Anozie
    Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3881b788190922932fb8ff81160 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac003b08190923d469b3422cdab completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.