Triple

T19825500
Position Surface form Disambiguated ID Type / Status
Subject Three Mountains of Jōmō E476313 entity
Predicate hasPart P35 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: [Three Mountains of Jōmō, hasPart, Mount Haruna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Haruna
Context triple: [Three Mountains of Jōmō, hasPart, 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 Iizuna
    Mount Iizuna is a prominent volcanic peak in Nagano Prefecture, Japan, known for its scenic hiking trails, winter sports, and significance in local mountain worship traditions.
  • D. Mount Ohiri
    Mount Ohiri is the highest peak on the French Polynesian island of Taha'a in the Society Islands archipelago.
  • E. Mount Maetokachi
    Mount Maetokachi is a volcanic peak in Japan that forms part of the Tokachi Volcanic Group on the island of Hokkaido.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656c9e7348190a569a40bd1fca6ba completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.