Triple

T10978769
Position Surface form Disambiguated ID Type / Status
Subject Amagi E259442 entity
Predicate namedAfter P63 FINISHED
Object Mount Amagi E483980 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 Amagi | Statement: [Amagi, namedAfter, Mount Amagi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Amagi
Context triple: [Amagi, namedAfter, Mount Amagi]
  • A. Mount Amagi chosen
    Mount Amagi is a volcanic mountain range on Japan’s Izu Peninsula, known for its lush forests, hot springs, and scenic hiking trails.
  • B. Mount Azuma
    Mount Azuma is an active stratovolcano complex in Japan’s Tohoku region, known for its scenic crater lakes, hot springs, and popular hiking routes.
  • C. Mount Ryōkami
    Mount Ryōkami is a prominent peak in Japan’s Kanto region, known for its rugged terrain, scenic hiking trails, and panoramic views within the Chichibu mountain range.
  • D. 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.
  • E. 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.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f7b874819087bf5a858905279b completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f416ab88e48190b3089caab7987191 completed May 1, 2026, 2:57 a.m.
Created at: April 8, 2026, 9:24 p.m.