Triple

T18380936
Position Surface form Disambiguated ID Type / Status
Subject Mount Myogi E446441 entity
Predicate sharesGroupWith P32181 FINISHED
Object Mount Haruna 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 Haruna | Statement: [Mount Myogi, sharesGroupWith, Mount Haruna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Haruna
Context triple: [Mount Myogi, sharesGroupWith, Mount Haruna]
  • A. Mount Haruna chosen
    Mount Haruna is an active stratovolcano in Gunma Prefecture, Japan, known for its scenic caldera lake, hot springs, and popular hiking and sightseeing spots.
  • B. Mount Atago
    Mount Atago is a prominent mountain in Japan, revered for its Shinto shrines and historical significance as a site dedicated to the fire deity Atago Gongen.
  • C. Mount Ohiri
    Mount Ohiri is the highest peak on the French Polynesian island of Taha'a in the Society Islands archipelago.
  • D. Mount Maetokachi
    Mount Maetokachi is a volcanic peak in Japan that forms part of the Tokachi Volcanic Group on the island of Hokkaido.
  • E. 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.
  • 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_69d8b9f370b88190b1e5081c2c238e7f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e5179aa328819097f5ed8193cfa401 completed April 19, 2026, 5:57 p.m.
Created at: April 10, 2026, 10:45 a.m.