Triple

T18309826
Position Surface form Disambiguated ID Type / Status
Subject Mount Hakkoda E438591 entity
Predicate mountainRange P648 FINISHED
Object Ōu Mountains 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: Ōu Mountains | Statement: [Mount Hakkoda, mountainRange, Ōu Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ōu Mountains
Context triple: [Mount Hakkoda, mountainRange, Ōu Mountains]
  • A. Ou Mountains chosen
    The Ou Mountains are a major volcanic mountain range running north–south through Japan’s Tohoku region on the island of Honshu.
  • B. Nu Mountains
    The Nu Mountains are a rugged mountain range in southwestern China that form part of the eastern edge of the Tibetan Plateau and help define the deep, parallel river gorges of the Hengduan region.
  • C. Kiso Mountains
    The Kiso Mountains are a prominent mountain range in central Japan known for their rugged peaks, dense forests, and role as part of the Japanese Alps.
  • D. Taisetsu Mountains
    The Taisetsu Mountains are a volcanic mountain range in central Hokkaido, Japan, known for their rugged alpine landscapes, hot springs, and extensive hiking opportunities.
  • E. Hira Mountains
    The Hira Mountains are a scenic mountain range in Shiga Prefecture, Japan, known for their steep slopes, heavy winter snowfall, and views over Lake Biwa.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5021709f88190a8047dd57edc2029 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:36 a.m.