Triple

T3310547
Position Surface form Disambiguated ID Type / Status
Subject Western Japan E69559 entity
Predicate hasVolcano P6356 FINISHED
Object Mount Aso E83520 NE FINISHED

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 Aso | Statement: [Western Japan, hasVolcano, Mount Aso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Aso
Context triple: [Western Japan, hasVolcano, Mount Aso]
  • A. Mount Aso chosen
    Mount Aso is one of Japan’s largest and most active volcanoes, featuring a vast caldera and multiple central cones on the island of Kyushu.
  • B. Mount Ishizuchi
    Mount Ishizuchi is a prominent and sacred peak in western Japan, renowned as one of the country's Seven Holy Mountains and a popular destination for hiking and pilgrimage.
  • C. Mount Tanigawa
    Mount Tanigawa is a prominent peak on the border of Gunma and Niigata Prefectures in Japan, known for its rugged terrain, heavy snowfall, and popularity among climbers and hikers.
  • D. Ushishir Volcano
    Ushishir Volcano is an active volcanic complex forming part of a partially submerged caldera in the central Kuril Islands of Russia.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0eb6dd08190bab1ce80f417966a completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3f0d52081908bbade5e514f17d1 completed March 12, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:11 p.m.