Triple

T15608181
Position Surface form Disambiguated ID Type / Status
Subject Tokachi Volcanic Group E375215 entity
Predicate nearCity P350 FINISHED
Object Kamifurano
Kamifurano is a town in Hokkaido, Japan, known for its scenic rural landscapes, flower fields, and proximity to volcanic and hot spring areas.
 E1166877 NE FINISHED

How this triple was built (4 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: [Tokachi Volcanic Group, nearCity, Kamifurano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamifurano
Context triple: [Tokachi Volcanic Group, nearCity, Kamifurano]
  • A. Beppu
    Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
  • B. 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.
  • C. Shinshinotsu
    Shinshinotsu is a small village in Hokkaido, Japan, known for its rural landscapes, hot springs, and agricultural character.
  • D. Asama
    Asama is a high-speed Shinkansen train service in Japan that operates primarily on the Hokuriku Shinkansen line between Tokyo and Nagano.
  • E. Asama
    Asama was a Japanese armored cruiser of the Imperial Japanese Navy that served prominently in the Russo-Japanese War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kamifurano
Triple: [Tokachi Volcanic Group, nearCity, Kamifurano]
Generated description
Kamifurano is a town in Hokkaido, Japan, known for its scenic rural landscapes, flower fields, and proximity to volcanic and hot spring areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamifurano
Target entity description: Kamifurano is a town in Hokkaido, Japan, known for its scenic rural landscapes, flower fields, and proximity to volcanic and hot spring areas.
  • A. Beppu
    Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
  • B. 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.
  • C. Shinshinotsu
    Shinshinotsu is a small village in Hokkaido, Japan, known for its rural landscapes, hot springs, and agricultural character.
  • D. Asama
    Asama is a high-speed Shinkansen train service in Japan that operates primarily on the Hokuriku Shinkansen line between Tokyo and Nagano.
  • E. Asama
    Asama was a Japanese armored cruiser of the Imperial Japanese Navy that served prominently in the Russo-Japanese War.
  • F. None of above. chosen

Provenance (5 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d51c28819097b8c2c0e2307401 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 4:13 a.m.