Triple

T19510106
Position Surface form Disambiguated ID Type / Status
Subject Ikoma Mountains E488126 entity
Predicate separates P1175 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: [Ikoma Mountains, separates, Osaka Plain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Osaka Plain
Context triple: [Ikoma Mountains, separates, 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.