Triple

T18162177
Position Surface form Disambiguated ID Type / Status
Subject Mount Zao E434791 entity
Predicate hasViewOf P854 FINISHED
Object Yamagata Basin 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: Yamagata Basin | Statement: [Mount Zao, hasViewOf, Yamagata Basin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamagata Basin
Context triple: [Mount Zao, hasViewOf, Yamagata Basin]
  • A. Yamagata Basin chosen
    Yamagata Basin is a lowland plain in northern Japan known for its agricultural productivity and surrounding mountainous terrain.
  • B. Yonezawa Basin
    Yonezawa Basin is an inland basin in Yamagata Prefecture, Japan, known for encompassing the city of Yonezawa and its surrounding agricultural and residential areas.
  • C. Uonuma Basin
    Uonuma Basin is an inland plain in Niigata Prefecture, Japan, known for its heavy snowfall and high-quality rice production.
  • D. Kōfu Basin
    The Kōfu Basin is an inland lowland area in Yamanashi Prefecture, Japan, known for its surrounding mountains, fruit cultivation, and role as a major regional population and economic center.
  • E. Ishikari Plain
    The Ishikari Plain is a broad, fertile lowland region in western Hokkaido, Japan, known for its extensive agricultural land and encompassing major cities such as Sapporo.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec32530819099d906640a07e92c completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.