Triple

T14446759
Position Surface form Disambiguated ID Type / Status
Subject 100 Famous Japanese Mountains E358227 entity
Predicate hasPart P35 FINISHED
Object Mount Gassan E922482 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 Gassan | Statement: [100 Famous Japanese Mountains, hasPart, Mount Gassan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Gassan
Context triple: [100 Famous Japanese Mountains, hasPart, Mount Gassan]
  • A. Mount Gassan chosen
    Mount Gassan is a prominent sacred peak in Japan’s Dewa Sanzan mountain range, known for its religious significance, alpine landscapes, and seasonal hiking and skiing.
  • B. Mount Goryu
    Mount Goryu is a prominent peak in Japan’s Northern Alps, known for its ski resorts and alpine hiking within the Hakuba Valley area.
  • C. Mount Haruna
    Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
  • D. Mount Suiro
    Mount Suiro is the tallest mountain on Biliran Island in the Philippines, forming a prominent part of the island’s volcanic landscape.
  • 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 (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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9160126c8190a2862a1a3dde1aff completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dfbc28819090cf56f16b5e7c39 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 1:19 a.m.