Triple

T9887859
Position Surface form Disambiguated ID Type / Status
Subject Edogawa E181380 entity
Predicate hasSportsFacility P105 FINISHED
Object Edogawa City Athletic Stadium E827446 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: Edogawa City Athletic Stadium | Statement: [Edogawa, hasSportsFacility, Edogawa City Athletic Stadium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edogawa City Athletic Stadium
Context triple: [Edogawa, hasSportsFacility, Edogawa City Athletic Stadium]
  • A. Edogawa Stadium chosen
    Edogawa Stadium is a multi-purpose sports venue in Tokyo, Japan, primarily used for athletics and football matches.
  • B. Fujiidera Stadium
    Fujiidera Stadium was a baseball stadium in Fujiidera, Osaka Prefecture, Japan, best known as a longtime home field for Nippon Professional Baseball games.
  • C. 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.
  • D. Onikan Stadium
    Onikan Stadium is a historic multi-purpose sports arena located on Lagos Island in Lagos, Nigeria.
  • E. Setsoto Stadium
    Setsoto Stadium is a multi-purpose national sports venue in Maseru, Lesotho, primarily used for football matches and major public 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4592db881909b134834dde614d8 completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d7cc8e481909efdd1333ae740a3 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:39 p.m.