Triple

T2852608
Position Surface form Disambiguated ID Type / Status
Subject Ogun State E63125 entity
Predicate hasLocalGovernmentArea P8215 FINISHED
Object Remo North E303740 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: Remo North | Statement: [Ogun State, hasLocalGovernmentArea, Remo North]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Remo North
Context triple: [Ogun State, hasLocalGovernmentArea, Remo North]
  • A. Remo chosen
    Remo is a prominent Yoruba sub-group in southwestern Nigeria, historically centered in present-day Ogun State and known for its rich cultural and political heritage.
  • B. Don Rhymer
    Don Rhymer was an American screenwriter known for his work on family-oriented films and animated features, including contributions to the Rio franchise.
  • C. Robby Mook
    Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
  • D. Mike McGear
    Mike McGear is a British musician, photographer, and comedian best known as Paul McCartney’s younger brother and a member of the satirical pop group The Scaffold.
  • E. Joel McNeely
    Joel McNeely is an American composer and conductor best known for his work on film and television scores, including numerous projects for Disney and other major studios.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5e043c8190ac82112abce7262a completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d81e76c8190aae5e6dd9b13e28b completed March 10, 2026, 1:32 p.m.
Created at: March 6, 2026, 10:02 p.m.