Triple

T12795625
Position Surface form Disambiguated ID Type / Status
Subject Onikan neighborhood E305881 entity
Predicate hasLandmark P105 FINISHED
Object Onikan Stadium E274576 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 Stadium | Statement: [Onikan neighborhood, hasLandmark, Onikan Stadium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Onikan Stadium
Context triple: [Onikan neighborhood, hasLandmark, Onikan Stadium]
  • A. Onikan Stadium chosen
    Onikan Stadium is a historic multi-purpose sports arena located on Lagos Island in Lagos, Nigeria.
  • B. Setsoto Stadium
    Setsoto Stadium is a multi-purpose national sports venue in Maseru, Lesotho, primarily used for football matches and major public events.
  • C. Japoma Stadium
    Japoma Stadium is a major multi-purpose sports venue in Douala, Cameroon, best known for hosting top-level football matches including those of the Cameroon national team and international tournaments.
  • D. Ajinomoto Stadium
    Ajinomoto Stadium is a large multi-purpose sports venue in Tokyo, Japan, best known for hosting professional football matches and major sporting events.
  • E. Edogawa Stadium
    Edogawa Stadium is a multi-purpose sports venue in Tokyo, Japan, primarily used for athletics and football matches.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e6db68481909a2ca8da1287f3e0 completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6850d6ebc8190aaffcac09f4b15eb completed May 2, 2026, 11:13 p.m.
Created at: April 9, 2026, 5:30 p.m.