Triple

T2202779
Position Surface form Disambiguated ID Type / Status
Subject Japanese Alps E50527 entity
Predicate tourism P530 FINISHED
Object Shirakawa-go region
The Shirakawa-go region is a remote, mountainous area in Japan famed for its traditional gassho-zukuri farmhouses and picturesque, snow-covered village landscapes.
 E244708 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: Shirakawa-go region | Statement: [Japanese Alps, tourism, Shirakawa-go region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shirakawa-go region
Context triple: [Japanese Alps, tourism, Shirakawa-go region]
  • A. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • B. Yufuin
    Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
  • C. Koya town
    Koya town is a historic settlement in Japan best known as the center of Shingon Buddhism and home to the sacred Mount Koya temple complex.
  • D. Kumano
    Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • E. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • 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: Shirakawa-go region
Triple: [Japanese Alps, tourism, Shirakawa-go region]
Generated description
The Shirakawa-go region is a remote, mountainous area in Japan famed for its traditional gassho-zukuri farmhouses and picturesque, snow-covered village landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shirakawa-go region
Target entity description: The Shirakawa-go region is a remote, mountainous area in Japan famed for its traditional gassho-zukuri farmhouses and picturesque, snow-covered village landscapes.
  • A. Kyotanabe
    Kyotanabe is a city in Kyoto Prefecture, Japan, known for its residential suburbs, educational institutions, and location within the Kansai region.
  • B. Yufuin
    Yufuin is a scenic hot spring resort town in Ōita Prefecture, Japan, known for its tranquil rural atmosphere, boutique inns, and views of Mount Yufu.
  • C. Koya town
    Koya town is a historic settlement in Japan best known as the center of Shingon Buddhism and home to the sacred Mount Koya temple complex.
  • D. Kumano
    Kumano was a Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • E. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa33f0881908403604eafb73ecf completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65473fd48190b58dba4205776096 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae666bd32c81909ff15201757a6c76 completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66d8ba688190a2102c00fc6231c4 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:46 p.m.