Triple

T17451731
Position Surface form Disambiguated ID Type / Status
Subject Hokkaido region (southern part) E424927 entity
Predicate containsVolcano P6356 FINISHED
Object Mount Usu 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: Mount Usu | Statement: [Hokkaido region (southern part), containsVolcano, Mount Usu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Usu
Context triple: [Hokkaido region (southern part), containsVolcano, Mount Usu]
  • A. Mount Usu chosen
    Mount Usu is an active stratovolcano in Hokkaido, Japan, known for its frequent eruptions and dramatic impact on the surrounding landscape.
  • B. Mount Utsugi
    Mount Utsugi is a prominent peak in Japan’s Kiso Mountains, known for its alpine scenery and popular hiking routes.
  • C. Mount Tsurumi
    Mount Tsurumi is a volcanic mountain in Ōita Prefecture, Japan, known for its panoramic views, seasonal foliage, and ropeway access from the hot spring resort city of Beppu.
  • D. Mount Haruna
    Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
  • E. Mount Maetokachi
    Mount Maetokachi is a volcanic peak in Japan that forms part of the Tokachi Volcanic Group on the island of Hokkaido.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4513e57248190824b540865311f44 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.