Triple

T610682
Position Surface form Disambiguated ID Type / Status
Subject Hokkaido E12089 entity
Predicate hasSkiResort P1981 FINISHED
Object Rusutsu
Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
 E95392 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: Rusutsu | Statement: [Hokkaido, hasSkiResort, Rusutsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rusutsu
Context triple: [Hokkaido, hasSkiResort, Rusutsu]
  • A. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • B. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • C. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • D. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • E. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • 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: Rusutsu
Triple: [Hokkaido, hasSkiResort, Rusutsu]
Generated description
Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rusutsu
Target entity description: Rusutsu is a major ski and resort area in Japan known for its extensive, high-quality powder snow terrain and year-round outdoor activities.
  • A. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • B. Fujiidera
    Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
  • C. Tenjin
    Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
  • D. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • E. Matsubara
    Matsubara is a suburban city in Japan’s Kansai region, located within Osaka Prefecture and forming part of the Osaka metropolitan area.
  • 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_69a493309df48190a327f748e88049a6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49df7c088819082eb70de4f0f4fbf completed March 1, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a68916d9f081909a14612144491fb7 completed March 3, 2026, 7:09 a.m.
NEDg Description generation batch_69a68a478c9081908d8ccb1ce058e931 completed March 3, 2026, 7:14 a.m.
NED2 Entity disambiguation (via description) batch_69a6d72d0d0c8190abac6b2d5668a812 completed March 3, 2026, 12:42 p.m.
Created at: March 1, 2026, 7:35 p.m.