Triple

T24433
Position Surface form Disambiguated ID Type / Status
Subject Osaka E486 entity
Predicate partOf P40 FINISHED
Object Keihanshin metropolitan area 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: Keihanshin metropolitan area | Statement: [Osaka, partOf, Keihanshin metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keihanshin metropolitan area
Context triple: [Osaka, partOf, Keihanshin metropolitan area]
  • 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. Osaka Prefecture
    Osaka Prefecture is a populous and economically vital region in Japan’s Kansai area, centered on the city of Osaka and known as a major hub of commerce, industry, and culture.
  • C. Osaka
    Osaka is Japan's third-largest city and a major economic, cultural, and historical hub known for its vibrant street food, bustling nightlife, and role as a commercial center in the Kansai region.
  • D. Nagoya
    Nagoya is a major industrial and commercial city in central Japan, known as a manufacturing hub and the capital of Aichi Prefecture.
  • E. Yokohama
    Yokohama is Japan’s second-largest city and a major international port located just south of Tokyo.
  • 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_69a243b4ac2c8190b93c303df797b7b2 completed Feb. 28, 2026, 1:24 a.m.
NER Named-entity recognition batch_69a2466d166881908bd8513c8d09fe8d completed Feb. 28, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c93548988190a7514e0cc2df0de4 completed Feb. 28, 2026, 10:53 a.m.
Created at: Feb. 28, 2026, 1:34 a.m.