Triple

T978159
Position Surface form Disambiguated ID Type / Status
Subject Osakako Station E21103 entity
Predicate region P40 FINISHED
Object Kansai E1806 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: Kansai | Statement: [Osakako Station, region, Kansai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kansai
Context triple: [Osakako Station, region, Kansai]
  • A. Kansai region chosen
    The Kansai region is a major cultural and economic area of western Japan that includes cities such as Osaka, Kyoto, and Kobe and is known as a historic heartland of Japanese civilization.
  • B. Chūbu region
    The Chūbu region is a central area of Japan on Honshu Island, known for encompassing the Japanese Alps and including major prefectures such as Aichi, Nagano, and Shizuoka.
  • C. Kyushu
    Kyushu is the southwesternmost of Japan’s main islands, known for its active volcanoes, hot springs, and historic cities such as Fukuoka and Nagasaki.
  • D. Chūgoku region
    The Chūgoku region is a western part of Japan’s main island Honshu, known for cities like Hiroshima and Okayama and a mix of industrial centers, historic sites, and rural landscapes.
  • E. Kansai, Japan
    Kansai, Japan is a major region in western Honshu known for historic cities like Kyoto, Osaka, and Nara, rich cultural heritage, and significant economic and cultural influence.
  • 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_69a493c2b62c8190b616351789ec47f8 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b47861808190be56a7bbd926e658 completed March 1, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b085ebb1e481909c27fa8a8e2ee1c6 completed March 10, 2026, 8:58 p.m.
Created at: March 1, 2026, 7:40 p.m.