Triple

T19740917
Position Surface form Disambiguated ID Type / Status
Subject Mount Akagi plateau E474114 entity
Predicate mountainRange P648 FINISHED
Object Mount Akagi 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 Akagi | Statement: [Mount Akagi plateau, mountainRange, Mount Akagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Akagi
Context triple: [Mount Akagi plateau, mountainRange, Mount Akagi]
  • A. Mount Akagi chosen
    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.
  • B. Mount Furutaka
    Mount Furutaka is a mountain in Japan notable enough to have lent its name to the Imperial Japanese Navy cruiser Furutaka.
  • C. Mount Karamatsu
    Mount Karamatsu is a popular peak in Japan’s Northern Alps, known for its scenic hiking routes, alpine views, and access via the Hakuba ski resort area.
  • D. Mount Katsuragi
    Mount Katsuragi is a mountain on the border of Nara and Osaka Prefectures in Japan, known for its scenic hiking trails and seasonal flower displays, especially azaleas.
  • E. Mount Akaishi
    Mount Akaishi is one of Japan’s major high peaks, known for its rugged alpine terrain and scenic vistas within the country’s central mountain ranges.
  • 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6516159c8819090022094aa91902b completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.