Triple

T6185950
Position Surface form Disambiguated ID Type / Status
Subject Maishima E138059 entity
Predicate hasSportsFacility P105 FINISHED
Object Maishima Arena E81546 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: Maishima Arena | Statement: [Maishima, hasSportsFacility, Maishima Arena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maishima Arena
Context triple: [Maishima, hasSportsFacility, Maishima Arena]
  • A. Maishima Arena chosen
    Maishima Arena is an indoor sports venue in Osaka, Japan, primarily known for hosting professional basketball games and other sporting events.
  • 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. Saitama Super Arena
    Saitama Super Arena is a large, multi-purpose indoor stadium in Saitama, Japan, known for hosting major sports events, concerts, and international entertainment shows.
  • D. Onikan Stadium
    Onikan Stadium is a historic multi-purpose sports arena located on Lagos Island in Lagos, Nigeria.
  • E. Sapporo Dome
    Sapporo Dome is a multi-purpose stadium in Sapporo, Japan, best known for hosting baseball and football matches as well as major international sporting events.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141ca916c8190bd1ca46f2b8c9c18 completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.