Triple

T21786988
Position Surface form Disambiguated ID Type / Status
Subject Kongō mountain range E537863 entity
Predicate near P350 FINISHED
Object Osaka Plain 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: Osaka Plain | Statement: [Kongō mountain range, near, Osaka Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osaka Plain
Context triple: [Kongō mountain range, near, 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. Yamato Plain
    The Yamato Plain is a fertile lowland area in Nara Prefecture, Japan, historically significant as one of the earliest political and cultural centers of the Japanese state.
  • E. Sendai Plain
    The Sendai Plain is a broad coastal lowland in Japan’s Miyagi Prefecture, known for its extensive rice fields, dense urban development around Sendai City, and exposure to tsunami impacts from the Pacific Ocean.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0621c68588190977891055e80a499 completed April 28, 2026, 7:30 a.m.
Created at: April 16, 2026, 6:52 p.m.