Triple

T1465471
Position Surface form Disambiguated ID Type / Status
Subject Omihachiman E27011 entity
Predicate hasMountain P10602 FINISHED
Object Mount Hachiman E168363 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 Hachiman | Statement: [Omihachiman, hasMountain, Mount Hachiman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Hachiman
Context triple: [Omihachiman, hasMountain, Mount Hachiman]
  • A. Mount Hachiman chosen
    Mount Hachiman is a scenic hill in Ōmihachiman, Shiga Prefecture, known for its historical significance, hiking trails, and panoramic views over the city and Lake Biwa.
  • B. 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.
  • C. Kurohime-yama
    Kurohime-yama is a subsidiary peak of Japan’s Mount Akagi, known as part of the volcanic mountain’s multi-summit range in Gunma Prefecture.
  • D. Mount Akagi
    Mount Akagi is a prominent volcanic mountain in Japan’s Gunma Prefecture, known for its caldera lakes, scenic hiking trails, and cultural significance in local folklore.
  • E. 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.
  • 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_69a496d25d6881909dbd84f86d763992 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c5bb4e288190997c7e8985e9a2bd completed March 1, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c9daa748190865d97f632ab8a37 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 8:01 p.m.