Triple

T21358068
Position Surface form Disambiguated ID Type / Status
Subject Kasuga E526689 entity
Predicate neighboringCity P988 FINISHED
Object Onojo 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: Onojo | Statement: [Kasuga, neighboringCity, Onojo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onojo
Context triple: [Kasuga, neighboringCity, Onojo]
  • A. Onojo chosen
    Onojo is a suburban city in Fukuoka Prefecture, Japan, known as part of the greater Fukuoka-Kitakyushu metropolitan area and serving primarily as a residential and commercial hub.
  • B. Inoniya
    Inoniya is a work by the renowned Russian poet Sergei Yesenin, reflecting his lyrical and often melancholic style rooted in rural life and emotional introspection.
  • C. Ojapo
    Ojapo is a town in Okpokwu Local Government Area of Benue State, Nigeria.
  • D. Onojie
    Onojie is the hereditary royal title held by traditional monarchs of the Esan people of Edo State in southern Nigeria.
  • E. Ojowo
    Ojowo is a town within the Ijebu North area of Ogun State in southwestern Nigeria.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa2d11c81908608851940e4e6d3 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.