Triple

T12319088
Position Surface form Disambiguated ID Type / Status
Subject Egba Oke-Ona E293680 entity
Predicate partOf P40 FINISHED
Object Egba E56494 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: Egba | Statement: [Egba Oke-Ona, partOf, Egba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Egba
Context triple: [Egba Oke-Ona, partOf, Egba]
  • A. Egba chosen
    Egba is a prominent subgroup of the Yoruba people in southwestern Nigeria, historically centered around the city of Abeokuta and known for its rich cultural and political heritage.
  • B. Ogbia
    Ogbia is a local government area in Bayelsa State, Nigeria, known for its oil-rich communities and as the birthplace of former Nigerian President Goodluck Jonathan.
  • C. Nzebi
    Nzebi is a Bantu language spoken primarily by the Nzebi people of Gabon and recognized there as one of the national languages.
  • D. Gbagyi
    Gbagyi is a Central Nigerian ethnic group known for its distinct language, rich cultural traditions, and widespread presence across parts of Niger, Kaduna, and the Federal Capital Territory.
  • E. Issele-Azagba
    Issele-Azagba is a town in Aniocha South Local Government Area of Delta State in southern Nigeria.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4ab1b88190979a8403a430a17c completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6346a3f34819091882004ab558347 completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:53 p.m.