Triple

T10760446
Position Surface form Disambiguated ID Type / Status
Subject Nikko E253811 entity
Predicate hasMountain P10602 FINISHED
Object Mount Nikko-Shirane E448015 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 Nikko-Shirane | Statement: [Nikko, hasMountain, Mount Nikko-Shirane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mount Nikko-Shirane
Context triple: [Nikko, hasMountain, Mount Nikko-Shirane]
  • A. Mount Nikko-Shirane chosen
    Mount Nikko-Shirane is a prominent volcanic peak in Japan known as the highest mountain in the Kanto region and a popular destination for hiking and alpine scenery.
  • B. Mount Kusatsu-Shirane
    Mount Kusatsu-Shirane is an active stratovolcano in central Honshu, Japan, known for its acidic crater lakes and popular nearby hot spring resort of Kusatsu Onsen.
  • C. Mount Kinugasa
    Mount Kinugasa is a Japanese mountain whose name was notably given to the Imperial Japanese Navy cruiser Kinugasa.
  • D. Mount Norikura
    Mount Norikura is a large stratovolcano in Japan’s Northern Alps, known for its high elevation, scenic alpine landscapes, and popularity as a hiking and skiing destination.
  • E. Mount Tsubakuro
    Mount Tsubakuro is a popular alpine peak in Japan’s Northern Alps, known for its panoramic views, distinctive white granite ridges, and accessible hiking routes.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a14c7481909c6f4f9b15dc130f completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69e5e877c6188190817fb30f2c9a07bf completed April 20, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:16 p.m.