Triple

T12491332
Position Surface form Disambiguated ID Type / Status
Subject Olamide E298571 entity
Predicate birthPlace P1 FINISHED
Object Bariga E993389 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: Bariga | Statement: [Olamide, birthPlace, Bariga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bariga
Context triple: [Olamide, birthPlace, Bariga]
  • A. Ilesa
    Ilesa is a historic Yoruba town in southwestern Nigeria, renowned as the cultural and political center of the Ijesha people.
  • B. Ganduje
    Ganduje is the surname of Abdullahi Umar Ganduje, a prominent Nigerian politician and former governor of Kano State.
  • C. Ogbomoso
    Ogbomoso is a major Yoruba city in southwestern Nigeria known for its agricultural trade, historic role in regional wars, and vibrant cultural heritage.
  • D. Gbagada chosen
    Gbagada is a residential and commercial district in Lagos, Nigeria, known for its strategic location along the Oshodi–Apapa Expressway and its mix of middle-class housing, businesses, and healthcare facilities.
  • E. Ojo
    Ojo is a central character in L. Frank Baum’s Oz series, notably a Munchkin boy whose quest drives the plot of "The Patchwork Girl of Oz."
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94de3076c81909640c982d520ca6b completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e2588b448190b5dc5a5d37fd1897 completed May 3, 2026, 5:51 a.m.
Created at: April 8, 2026, 9:56 p.m.