Triple

T20260688
Position Surface form Disambiguated ID Type / Status
Subject Matsumoto E498824 entity
Predicate near P350 FINISHED
Object Japanese Alps 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: Japanese Alps | Statement: [Matsumoto, near, Japanese Alps]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Japanese Alps
Context triple: [Matsumoto, near, Japanese Alps]
  • A. Japanese Alps chosen
    The Japanese Alps are a series of rugged, high mountain ranges in central Japan known for their dramatic peaks, heavy snowfall, and popular hiking and skiing destinations.
  • 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. Kanto Mountains
    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.
  • D. Azuma Mountains
    The Azuma Mountains are a volcanic mountain range in northeastern Japan known for their scenic landscapes, hot springs, and popular hiking routes.
  • E. Hida Mountains
    The Hida Mountains, also known as the Northern Japanese Alps, are a prominent, rugged mountain range in central Honshu renowned for their high peaks, alpine scenery, and popular hiking and skiing areas.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ca77c081909cd2f44ccfe3662d completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.