Triple

T21976571
Position Surface form Disambiguated ID Type / Status
Subject Tocho E542719 entity
Predicate hasViewOf P854 FINISHED
Object Mount Fuji (on clear days) 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 Fuji (on clear days) | Statement: [Tocho, hasViewOf, Mount Fuji (on clear days)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Fuji (on clear days)
Context triple: [Tocho, hasViewOf, Mount Fuji (on clear days)]
  • A. Mount Fuji (when visibility allows)
    Mount Fuji (when visibility allows) is Japan’s highest and most iconic volcanic mountain, renowned for its near-symmetrical cone and cultural significance.
  • B. Mount Akan Fuji
    Mount Akan Fuji is a picturesque, conical volcano in Hokkaido, Japan, known for its resemblance to Mount Fuji and its location within Akan-Mashu National Park.
  • C. Mount Fuji chosen
    Mount Fuji is Japan’s iconic, snow-capped stratovolcano and highest peak, renowned for its nearly symmetrical cone and cultural significance.
  • D. Fujiyama
    Fujiyama is a famous steel roller coaster in Japan known for its great height, speed, and record-breaking status when it opened.
  • E. 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.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12489889c81909c847cf2f6808d85 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.