Triple

T19303555
Position Surface form Disambiguated ID Type / Status
Subject Toma-no-mimi E482762 entity
Predicate partOf P40 FINISHED
Object Tanigawa-dake massif NE NERFINISHED

How this triple was built (3 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: Tanigawa-dake massif | Statement: [Toma-no-mimi, partOf, Tanigawa-dake massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tanigawa-dake massif
Context triple: [Toma-no-mimi, partOf, Tanigawa-dake massif]
  • A. Mount Akagi massif
    Mount Akagi massif is a prominent volcanic mountain complex in Japan’s Gunma Prefecture, known for its broad caldera, scenic crater lakes, and popular hiking and sightseeing opportunities.
  • B. Mount Kita-dake
    Mount Kita-dake is Japan’s second-highest peak, a prominent alpine mountain in the Southern Japanese Alps renowned for its rugged terrain and scenic hiking routes.
  • C. Mount Ishizuchi
    Mount Ishizuchi is a prominent and sacred peak in western Japan, renowned as one of the country's Seven Holy Mountains and a popular destination for hiking and pilgrimage.
  • D. Akaishi Mountains
    The Akaishi Mountains, also known as part of Japan’s Southern Alps, are a prominent, rugged mountain range in central Honshu renowned for their high peaks and alpine landscapes.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tanigawa-dake massif
Target entity description: Tanigawa-dake massif is a prominent mountain group on the border of Gunma and Niigata Prefectures in Japan, known for its rugged terrain, heavy snowfall, and popularity among climbers and hikers.
  • A. Mount Akagi massif
    Mount Akagi massif is a prominent volcanic mountain complex in Japan’s Gunma Prefecture, known for its broad caldera, scenic crater lakes, and popular hiking and sightseeing opportunities.
  • B. Mount Kita-dake
    Mount Kita-dake is Japan’s second-highest peak, a prominent alpine mountain in the Southern Japanese Alps renowned for its rugged terrain and scenic hiking routes.
  • C. Mount Ishizuchi
    Mount Ishizuchi is a prominent and sacred peak in western Japan, renowned as one of the country's Seven Holy Mountains and a popular destination for hiking and pilgrimage.
  • D. Akaishi Mountains
    The Akaishi Mountains, also known as part of Japan’s Southern Alps, are a prominent, rugged mountain range in central Honshu renowned for their high peaks and alpine landscapes.
  • E. 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.
  • F. None of above. chosen

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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c5903c819090b3f89c3f33b005 completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.