Triple

T7851985
Position Surface form Disambiguated ID Type / Status
Subject Shōnan E182077 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: [Shōnan, hasViewOf, Mount Fuji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Fuji
Context triple: [Shōnan, 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 Yamashiro
    Mount Yamashiro is a Japanese mountain whose name was historically significant enough to be used for the Imperial Japanese Navy battleship Yamashiro.
  • C. Mount Bandai
    Mount Bandai is a prominent stratovolcano in Fukushima Prefecture, Japan, known for its explosive 1888 eruption that reshaped the surrounding landscape and created scenic lakes.
  • D. Mount Tarumae
    Mount Tarumae is an active stratovolcano in Hokkaido, Japan, known for its lava dome and scenic hiking routes overlooking Lake Shikotsu.
  • E. Mount Myogi
    Mount Myogi is a rugged, scenic mountain in Japan’s Gunma Prefecture, famed for its dramatic rock formations, hiking routes, and status as one of the country’s most beautiful mountains.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18ec48548190960bd564a60effa8 completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf21add88190bc07d3164e940116 completed March 31, 2026, 2:50 p.m.
Created at: March 30, 2026, 4:51 p.m.