Triple

T22540006
Position Surface form Disambiguated ID Type / Status
Subject Ogba E557261 entity
Predicate near P350 FINISHED
Object Agege NE NERFINISHED

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: Agege | Statement: [Ogba, near, Agege]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agege
Context triple: [Ogba, near, Agege]
  • A. Agege chosen
    Agege is a densely populated suburban district and local government area within Lagos State, Nigeria, known for its vibrant markets and residential neighborhoods.
  • B. Ilesha Baruba
    Ilesha Baruba is a town in Kwara State, Nigeria, located near the country’s border with Benin and serving as a local commercial and cultural center.
  • C. Oluremi
    Oluremi is a feminine given name of Yoruba origin, commonly used in Nigeria and among Yoruba-speaking communities.
  • D. Adeola
    Adeola is a Yoruba-origin surname and given name commonly used in Nigeria and among the Yoruba diaspora.
  • E. Oluyemi
    Oluyemi is a Yoruba given name, notably borne by Nigerian politician and former Vice President Yemi Osinbajo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f3196fc819098deffb0c7932ccc completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.