Triple

T10383811
Position Surface form Disambiguated ID Type / Status
Subject Kamikochi E244707 entity
Predicate hasViewOf P854 FINISHED
Object Mount Hotaka E248798 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 Hotaka | Statement: [Kamikochi, hasViewOf, Mount Hotaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Hotaka
Context triple: [Kamikochi, hasViewOf, Mount Hotaka]
  • A. Mount Hotaka chosen
    Mount Hotaka is a prominent peak in Japan’s Hida Mountains, renowned for its rugged alpine terrain and popularity among climbers and hikers.
  • B. Mount Ikoma
    Mount Ikoma is a prominent mountain on the border of Osaka and Nara prefectures in Japan, known for its scenic views, temples, and popular hiking and leisure facilities.
  • C. Mount Hijiridake
    Mount Hijiridake is a prominent peak in Japan’s Southern Alps, known for its alpine scenery and challenging hiking routes.
  • D. Mount Tapochau
    Mount Tapochau is the highest peak on the island of Saipan in the Northern Mariana Islands, known for its panoramic views and World War II historical significance.
  • E. Mount Tanigawa
    Mount Tanigawa is a prominent peak on the border of Gunma and Niigata Prefectures in Japan, known for its rugged terrain, heavy snowfall, and popularity among climbers and hikers.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a2aafc8190aa11d14852fa1599 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3a8c95ca081908ceaa89eef87fbc9 completed April 18, 2026, 3:52 p.m.
Created at: April 6, 2026, 12:04 p.m.