Triple

T6029536
Position Surface form Disambiguated ID Type / Status
Subject Hanazono Rugby Stadium E134264 entity
Predicate nickname P55 FINISHED
Object Hanazono
Hanazono is a historic rugby stadium in Higashiosaka, Japan, renowned as a major venue for high school and professional rugby matches.
 E575935 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: Hanazono | Statement: [Hanazono Rugby Stadium, nickname, Hanazono]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hanazono
Context triple: [Hanazono Rugby Stadium, nickname, Hanazono]
  • A. Hanazono
    Hanazono is a popular ski and outdoor recreation area within the Niseko resort region of Hokkaido, Japan, known for its powder snow and winter sports facilities.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • E. Kiyokawa
    Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
  • 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: Hanazono
Triple: [Hanazono Rugby Stadium, nickname, Hanazono]
Generated description
Hanazono is a historic rugby stadium in Higashiosaka, Japan, renowned as a major venue for high school and professional rugby matches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hanazono
Target entity description: Hanazono is a historic rugby stadium in Higashiosaka, Japan, renowned as a major venue for high school and professional rugby matches.
  • A. Hanazono
    Hanazono is a popular ski and outdoor recreation area within the Niseko resort region of Hokkaido, Japan, known for its powder snow and winter sports facilities.
  • B. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • C. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • D. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • E. Kiyokawa
    Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560fdc84819093abba13054ea1ee completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16ea1595c8190926a5ed8d230ab4a completed March 23, 2026, 4:47 p.m.
NEDg Description generation batch_69c1c533f43881908d57b75237f3c827 completed March 23, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_69c1c59ef9b0819091b05cd30c07d918 completed March 23, 2026, 10:58 p.m.
Created at: March 22, 2026, 4:07 p.m.