Triple

T5571519
Position Surface form Disambiguated ID Type / Status
Subject Sado, Niigata, Japan E146212 entity
Predicate formedByMergerOf P77 FINISHED
Object Sawata
Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
 E598715 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: Sawata | Statement: [Sado, Niigata, Japan, formedByMergerOf, Sawata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sawata
Context triple: [Sado, Niigata, Japan, formedByMergerOf, Sawata]
  • A. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • D. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • E. Ihara
    Ihara is the Japanese family name of Ihara Saikaku, a prominent 17th-century Edo-period poet and writer known for his realistic portrayals of urban life.
  • 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: Sawata
Triple: [Sado, Niigata, Japan, formedByMergerOf, Sawata]
Generated description
Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sawata
Target entity description: Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
  • A. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Shimamoto
    Shimamoto is a town in Osaka Prefecture, Japan, located between Kyoto and Osaka along the Yodo River.
  • D. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • E. Ihara
    Ihara is the Japanese family name of Ihara Saikaku, a prominent 17th-century Edo-period poet and writer known for his realistic portrayals of urban life.
  • 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_69c6855bd42c8190a9fbebd5176d63fd completed March 27, 2026, 1:25 p.m.
NEDg Description generation batch_69c6994dafac819097586bd23aee35c4 completed March 27, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69c6ac08698c8190b8a0a9625492353b completed March 27, 2026, 4:10 p.m.
Created at: March 22, 2026, 3:37 p.m.