Triple

T11578989
Position Surface form Disambiguated ID Type / Status
Subject Onikan Stadium E274576 entity
Predicate locatedIn P40 FINISHED
Object Onikan E308289 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: Onikan | Statement: [Onikan Stadium, locatedIn, Onikan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onikan
Context triple: [Onikan Stadium, locatedIn, Onikan]
  • A. Onikan chosen
    Onikan is a historic neighborhood on Lagos Island in Lagos, Nigeria, known for its cultural landmarks, sports and event venues, and proximity to the city’s central business and administrative districts.
  • B. Ōnamuchi
    Ōnamuchi is another name for Ōkuninushi, a major Shinto deity associated with nation-building, medicine, and good fortune in Japanese mythology.
  • C. Nonoichi
    Nonoichi is a city in Ishikawa Prefecture, Japan, known for its residential character and proximity to the regional hub of Kanazawa.
  • D. Miyazya
    Miyazya is one of the spring months in the Ethiopian calendar, roughly corresponding to April in the Gregorian calendar.
  • E. Ohoka
    Ohoka is a small rural township in New Zealand’s Canterbury region, known for its lifestyle properties and proximity to Christchurch.
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8904b46288190890ecafd6ceb0c3d completed April 10, 2026, 5:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8bcbb34819088c21d79357eef8a completed May 3, 2026, 9:06 p.m.
Created at: April 8, 2026, 9:38 p.m.