Triple

T22851754
Position Surface form Disambiguated ID Type / Status
Subject Wajin E566371 entity
Predicate region P40 FINISHED
Object Kinai region 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: Kinai region | Statement: [Wajin, region, Kinai region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kinai region
Context triple: [Wajin, region, Kinai region]
  • 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. Kōshin'etsu region
    The Kōshin'etsu region is a landlocked area of central Honshu, Japan, traditionally comprising Yamanashi, Nagano, and Niigata Prefectures and known for its mountains, hot springs, and ski resorts.
  • C. Shonan region
    The Shonan region is a popular coastal area in Kanagawa Prefecture, Japan, known for its beaches, surfing culture, and relaxed seaside lifestyle.
  • D. Tōkaidō region
    The Tōkaidō region is a historic coastal corridor of Japan that linked the ancient capitals and became a major route for travel, trade, and cultural exchange.
  • E. Osaka Bay area
    The Osaka Bay area is a coastal urban region of Osaka known for its redeveloped waterfront, entertainment complexes, shopping centers, and attractions such as aquariums and observation wheels.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb9a5b8819091cbb4ac42fbf778 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.