Triple

T15608151
Position Surface form Disambiguated ID Type / Status
Subject Tokachi Volcanic Group E375215 entity
Predicate hasPeak P8205 FINISHED
Object Mount Biei 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 Biei | Statement: [Tokachi Volcanic Group, hasPeak, Mount Biei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Biei
Context triple: [Tokachi Volcanic Group, hasPeak, Mount Biei]
  • A. Mount Biei chosen
    Mount Biei is a volcanic peak in Japan’s Hokkaido region, known for its alpine scenery and role as part of the expansive Daisetsuzan mountain area.
  • B. Mount Suiro
    Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
  • 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 Naeba
    Mount Naeba is a prominent volcanic peak in Japan’s Echigo Mountains, known for its ski resorts, hiking trails, and the former site of the Fuji Rock Festival.
  • E. Mount Tairyu
    Mount Tairyu is a mountain in Tokushima Prefecture, Japan, best known as the site of Tairyuji, the 21st temple on the Shikoku Pilgrimage.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
Created at: April 10, 2026, 4:13 a.m.