Triple

T610680
Position Surface form Disambiguated ID Type / Status
Subject Hokkaido E12089 entity
Predicate hasSkiResort P1981 FINISHED
Object Niseko
Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
 E83888 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: Niseko | Statement: [Hokkaido, hasSkiResort, Niseko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Niseko
Context triple: [Hokkaido, hasSkiResort, Niseko]
  • A. Kitami
    Kitami is a city in northeastern Hokkaido, Japan, known for its cold winters, onion production, and proximity to the Okhotsk Sea.
  • B. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • C. Chitose
    Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
  • D. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • E. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • 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: Niseko
Triple: [Hokkaido, hasSkiResort, Niseko]
Generated description
Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Niseko
Target entity description: Niseko is a renowned ski resort area in northern Japan famous for its abundant light powder snow, extensive slopes, and vibrant international winter sports scene.
  • A. Kitami
    Kitami is a city in northeastern Hokkaido, Japan, known for its cold winters, onion production, and proximity to the Okhotsk Sea.
  • B. Daikanyama
    Daikanyama is a trendy, upscale neighborhood in Tokyo known for its stylish boutiques, cafes, and relaxed, residential atmosphere.
  • C. Chitose
    Chitose is a city in Hokkaido, Japan, known as the gateway to the region through New Chitose Airport and for its proximity to Lake Shikotsu and surrounding natural scenery.
  • D. Senja
    Senja is Norway’s second-largest island, renowned for its dramatic coastal mountains, fishing villages, and scenic Arctic landscapes.
  • E. Hyakutake
    Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
  • 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_69a5dc8ff78c8190954d33f9e4556cca completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5de26ff1081908a60b55a1deab804 completed March 2, 2026, 6:59 p.m.
NED2 Entity disambiguation (via description) batch_69a5ff1ac6f481909915fd5b2e648558 completed March 2, 2026, 9:20 p.m.
Created at: March 1, 2026, 7:35 p.m.