Triple

T14446769
Position Surface form Disambiguated ID Type / Status
Subject 100 Famous Japanese Mountains E358227 entity
Predicate hasPart P35 FINISHED
Object Mount Kobushi E935865 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 Kobushi | Statement: [100 Famous Japanese Mountains, hasPart, Mount Kobushi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Kobushi
Context triple: [100 Famous Japanese Mountains, hasPart, Mount Kobushi]
  • A. Mount Kobushi chosen
    Mount Kobushi is a prominent peak in Japan that serves as one of the sources of the Arakawa, Shinano, and Fuefuki rivers and is popular for hiking within the Okuchichibu mountain region.
  • B. Mount Kumotori
    Mount Kumotori is a prominent mountain on the border of Tokyo, Saitama, and Yamanashi Prefectures in Japan, known as one of the major peaks of the Okuchichibu Mountains and a popular hiking destination.
  • C. Mount Kinugasa
    Mount Kinugasa is a Japanese mountain whose name was notably given to the Imperial Japanese Navy cruiser Kinugasa.
  • D. Mount Ohiri
    Mount Ohiri is the highest peak on the French Polynesian island of Taha'a in the Society Islands archipelago.
  • E. Mount Tsubakuro
    Mount Tsubakuro is a popular alpine peak in Japan’s Northern Alps, known for its panoramic views, distinctive white granite ridges, and accessible hiking routes.
  • 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_69ffc3ab3c8881909da34dc94a1deff2 completed May 9, 2026, 11:30 p.m.
Created at: April 10, 2026, 1:19 a.m.