Triple

T2810656
Position Surface form Disambiguated ID Type / Status
Subject Kashiwara E54159 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: [Kashiwara, region, Kansai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kansai
Context triple: [Kashiwara, 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. Yamato region
    The Yamato region is the early political and cultural heartland of Japan, where the first unified Japanese state emerged under the Yamato court.
  • E. 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.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde335b38819090c70d5e2ca14d79 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69bee04d0b0c81908876ff0d675b93ae completed March 21, 2026, 6:15 p.m.
Created at: March 6, 2026, 9:59 p.m.