Triple

T22539960
Position Surface form Disambiguated ID Type / Status
Subject Oregun E557260 entity
Predicate locatedNear P294 FINISHED
Object Ojota 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: Ojota | Statement: [Oregun, locatedNear, Ojota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ojota
Context triple: [Oregun, locatedNear, Ojota]
  • A. Ojota chosen
    Ojota is a busy Lagos suburb and transport hub known for its major bus terminal and strategic location along key routes in the city.
  • B. Oloibiri
    Oloibiri is a historic town in Bayelsa State, Nigeria, best known as the site where commercial quantities of crude oil were first discovered in the country.
  • C. Ojowo
    Ojowo is a town within the Ijebu North area of Ogun State in southwestern Nigeria.
  • D. Odogbolu
    Odogbolu is a town and local government area in Ogun State, southwestern Nigeria, historically under the traditional authority of the Awujale of Ijebu.
  • E. Jirapa
    Jirapa is a town in Ghana that serves as a local administrative and commercial center in the country’s Upper West Region.
  • 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.