Triple

T7480576
Position Surface form Disambiguated ID Type / Status
Subject Ikoma E176744 entity
Predicate hasViewOf P854 FINISHED
Object Osaka Plain E664702 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: Osaka Plain | Statement: [Ikoma, hasViewOf, Osaka Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Plain
Context triple: [Ikoma, hasViewOf, Osaka Plain]
  • A. Osaka Plain chosen
    The Osaka Plain is a large, fertile lowland area in the Kansai region of Japan that forms the core of the Osaka metropolitan area and supports dense urban development and agriculture.
  • B. Kanto Plain
    The Kanto Plain is Japan's largest and most populous lowland region, encompassing Tokyo and surrounding urban and agricultural areas on central Honshu.
  • C. Sanuki Plain
    The Sanuki Plain is a fertile lowland region in Kagawa Prefecture on Japan’s Shikoku Island, known for its agriculture and historic settlements.
  • D. Nara Basin
    The Nara Basin is a lowland plain in central Japan known as the historical heart of Nara Prefecture, containing many of Japan’s earliest capitals and cultural heritage sites.
  • E. Kyoto Basin
    The Kyoto Basin is a low-lying inland plain in central Honshu, Japan, that forms the geographic setting for the city of Kyoto and surrounding urban and agricultural areas.
  • 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_69c69f236ce08190a04d7679f03b29b2 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f532f4488190b6edaa96099c3b8f completed March 27, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83493f0988190b8c569d34bbe2817 completed March 28, 2026, 8:05 p.m.
Created at: March 27, 2026, 3:42 p.m.