Triple

T18169153
Position Surface form Disambiguated ID Type / Status
Subject Mount Akagi E434973 entity
Predicate mountainRange P648 FINISHED
Object Kanto 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: Kanto Mountains | Statement: [Mount Akagi, mountainRange, Kanto Mountains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanto Mountains
Context triple: [Mount Akagi, mountainRange, Kanto Mountains]
  • A. Kanto Mountains chosen
    The Kanto Mountains are a major mountain range in central Honshu, Japan, forming a natural barrier around the Kanto Plain and including peaks such as Mount Akagi.
  • B. Minami Alps
    Minami Alps is a mountainous region in central Japan known for its high peaks, including Mount Kita, and its protected national park landscapes.
  • C. Rokkō Mountains
    The Rokkō Mountains are a scenic mountain range in Japan’s Hyōgo Prefecture, known for overlooking the city of Kobe and offering popular hiking, hot springs, and panoramic viewpoints.
  • D. Kitayama Mountains
    The Kitayama Mountains are a forested mountain range forming the northern backdrop of Kyoto, known historically for their timber and scenic landscapes.
  • E. Azuma Mountains
    The Azuma Mountains are a volcanic mountain range in northeastern Japan known for their scenic landscapes, hot springs, and popular hiking routes.
  • 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_69e4df53ef148190a32aad0253547645 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.