Triple

T12728838
Position Surface form Disambiguated ID Type / Status
Subject Yatsugatake, Japan E304176 entity
Predicate hasViewOf P854 FINISHED
Object Mount Fuji E51069 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 Fuji | Statement: [Yatsugatake, Japan, hasViewOf, Mount Fuji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Fuji
Context triple: [Yatsugatake, Japan, hasViewOf, Mount Fuji]
  • A. Mount Fuji chosen
    Mount Fuji is Japan’s iconic, snow-capped stratovolcano and highest peak, renowned for its nearly symmetrical cone and cultural significance.
  • B. Mount Hakone
    Mount Hakone is an active volcanic complex in Japan’s Kanagawa Prefecture, famous for its hot springs, scenic crater lake, and views of nearby Mount Fuji.
  • C. Mount Yamashiro
    Mount Yamashiro is a Japanese mountain whose name was historically significant enough to be used for the Imperial Japanese Navy battleship Yamashiro.
  • D. 槍ヶ岳
    槍ヶ岳 is a sharply pointed, spear-shaped peak in Japan’s Hida Mountains, renowned as one of the most iconic and challenging summits in the Northern Alps.
  • E. Mount Hakusan
    Mount Hakusan is one of Japan’s “Three Holy Mountains,” a prominent volcanic peak revered in Shinto and Buddhist traditions for its spiritual significance and natural beauty.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964172490819080cd022ff8290b6e completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b8c84308190b57d3b5b04bb4a78 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:25 p.m.