Triple

T5571515
Position Surface form Disambiguated ID Type / Status
Subject Sado, Niigata, Japan E146212 entity
Predicate formedByMergerOf P77 FINISHED
Object Ryōtsu
Ryōtsu was a former city on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
 E598464 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: Ryōtsu | Statement: [Sado, Niigata, Japan, formedByMergerOf, Ryōtsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ryōtsu
Context triple: [Sado, Niigata, Japan, formedByMergerOf, Ryōtsu]
  • A. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • B. Yashio
    Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial area.
  • C. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • D. Settsu
    Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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: Ryōtsu
Triple: [Sado, Niigata, Japan, formedByMergerOf, Ryōtsu]
Generated description
Ryōtsu was a former city on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ryōtsu
Target entity description: Ryōtsu was a former city on Sado Island in Niigata Prefecture, Japan, known for its coastal setting and later incorporation into the city of Sado.
  • A. Kōgō
    Kōgō is the Japanese term used to refer to the empress consort of Japan.
  • B. Yashio
    Yashio is a district in Tokyo’s Shinagawa Ward, known primarily as a modern waterfront residential and commercial area.
  • C. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • D. Settsu
    Settsu is a city in Osaka Prefecture, Japan, known as part of the Osaka metropolitan area.
  • E. Takamikura
    Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020502a288190af37f9ebb88fccae completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c673e0dbdc81909745d2a35bd53f88 completed March 27, 2026, 12:11 p.m.
NEDg Description generation batch_69c675e712048190902e4fa38e150b25 completed March 27, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69c6763a7bd48190820c1b2fed33de9e completed March 27, 2026, 12:21 p.m.
Created at: March 22, 2026, 3:37 p.m.