Triple

T16021453
Position Surface form Disambiguated ID Type / Status
Subject Mount Tokachi E388606 entity
Predicate locatedNear P294 FINISHED
Object Kamifurano E1166877 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: Kamifurano | Statement: [Mount Tokachi, locatedNear, Kamifurano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamifurano
Context triple: [Mount Tokachi, locatedNear, Kamifurano]
  • A. Kamifurano chosen
    Kamifurano is a town in Hokkaido, Japan, known for its scenic rural landscapes, flower fields, and proximity to volcanic and hot spring areas.
  • B. Beppu
    Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
  • C. Heisei-Shinzan
    Heisei-Shinzan is a lava dome that formed during the early 1990s eruptions of Mount Unzen in Japan, becoming one of the country's most notable recent volcanic features.
  • D. Shinshinotsu
    Shinshinotsu is a small village in Hokkaido, Japan, known for its rural landscapes, hot springs, and agricultural character.
  • E. Asama
    Asama is a high-speed Shinkansen train service in Japan that operates primarily on the Hokuriku Shinkansen line between Tokyo and Nagano.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183231f2c81908f4e4037c3aa180b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2c6128819091d8f3710578834e completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.