Triple

T15633248
Position Surface form Disambiguated ID Type / Status
Subject Middleton, Wisconsin E375872 entity
Predicate hasSisterCity P919 FINISHED
Object Mosu, China
Mosu, China is a town in China recognized internationally through its sister city relationship with Middleton, Wisconsin.
 E1168048 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: Mosu, China | Statement: [Middleton, Wisconsin, hasSisterCity, Mosu, China]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mosu, China
Context triple: [Middleton, Wisconsin, hasSisterCity, Mosu, China]
  • A. Hsiangcheng, China
    Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
  • B. Ren’ai Jiao (China)
    Ren’ai Jiao (China) is the name used by China for Second Thomas Shoal, a disputed maritime feature in the South China Sea that is claimed by multiple countries.
  • C. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • D. Jiyuan
    Jiyuan is a county-level city in Henan Province, China, known for its proximity to the scenic and historically significant Mount Wangwu.
  • E. Zhonghe
    Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
  • 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: Mosu, China
Triple: [Middleton, Wisconsin, hasSisterCity, Mosu, China]
Generated description
Mosu, China is a town in China recognized internationally through its sister city relationship with Middleton, Wisconsin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mosu, China
Target entity description: Mosu, China is a town in China recognized internationally through its sister city relationship with Middleton, Wisconsin.
  • A. Hsiangcheng, China
    Hsiangcheng, China is a town in Henan Province known as the birthplace of author and social critic Os Guinness.
  • B. Ren’ai Jiao (China)
    Ren’ai Jiao (China) is the name used by China for Second Thomas Shoal, a disputed maritime feature in the South China Sea that is claimed by multiple countries.
  • C. Jiyuan
    Jiyuan was a protected cruiser of the late 19th-century Beiyang Fleet of the Qing Dynasty, notable for its role in the First Sino-Japanese War.
  • D. Jiyuan
    Jiyuan is a county-level city in Henan Province, China, known for its proximity to the scenic and historically significant Mount Wangwu.
  • E. Zhonghe
    Zhonghe was the reign era title used by Emperor Xizong during a late period of the Tang dynasty in China.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb7338881909f3c430bb73f91d1 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f472b648190b7cd532a1b16373e completed May 9, 2026, 4:22 p.m.
NEDg Description generation batch_69ff606f627081909e6ea230f30c917b completed May 9, 2026, 4:27 p.m.
NED2 Entity disambiguation (via description) batch_69ff6136a8c88190a83ad9232a338082 completed May 9, 2026, 4:30 p.m.
Created at: April 10, 2026, 4:14 a.m.