Triple

T13166066
Position Surface form Disambiguated ID Type / Status
Subject Aqua Wing ice hockey arena E312852 entity
Predicate OlympicHostCity P34557 FINISHED
Object Nagano 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: Nagano | Statement: [Aqua Wing ice hockey arena, OlympicHostCity, Nagano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagano
Context triple: [Aqua Wing ice hockey arena, OlympicHostCity, Nagano]
  • A. Nagano chosen
    Nagano is a city in central Japan best known internationally for hosting the 1998 Winter Olympic Games.
  • B. Niigata
    Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
  • C. Nagano Prefecture
    Nagano Prefecture is a mountainous region in central Japan renowned for its ski resorts, natural scenery, and role as the venue of the 1998 Winter Olympics.
  • D. Toyama
    Toyama is a coastal city in central Japan known as the capital of Toyama Prefecture, serving as a regional industrial and transportation hub on the Sea of Japan.
  • E. Oita
    Ōita is a coastal city on Japan’s Kyushu island known for its hot springs, regional cuisine, and role as the capital of Ōita Prefecture.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2c317881908cc715c97d915f77 completed April 10, 2026, 11:47 p.m.
Created at: April 9, 2026, 9:13 p.m.