Triple

T8053026
Position Surface form Disambiguated ID Type / Status
Subject Xinyu E187720 entity
Predicate nameInChinese P4878 FINISHED
Object 新余市
新余市 is a county-level city in central Jiangxi Province, China, known for its steel industry and rapid industrial development.
 E706949 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: 新余市 | Statement: [Xinyu, nameInChinese, 新余市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 新余市
Context triple: [Xinyu, nameInChinese, 新余市]
  • A. Fuzhou (Jiangxi)
    Fuzhou (Jiangxi) is a county-level city in eastern China that serves as an administrative and economic center within Jiangxi Province.
  • B. Nanchang
    Nanchang is the capital and largest city of Jiangxi Province in southeastern China, known as an important regional industrial and transportation hub.
  • C. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • D. Shaoshan City
    Shaoshan City is a county-level city in Hunan Province, China, best known as the birthplace of Mao Zedong and a significant site of "red tourism."
  • E. Shangrao
    Shangrao is a prefecture-level city in northeastern Jiangxi Province, China, known for its mountainous landscapes and proximity to popular scenic areas such as Mount Sanqing.
  • 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: 新余市
Triple: [Xinyu, nameInChinese, 新余市]
Generated description
新余市 is a county-level city in central Jiangxi Province, China, known for its steel industry and rapid industrial development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 新余市
Target entity description: 新余市 is a county-level city in central Jiangxi Province, China, known for its steel industry and rapid industrial development.
  • A. Fuzhou (Jiangxi)
    Fuzhou (Jiangxi) is a county-level city in eastern China that serves as an administrative and economic center within Jiangxi Province.
  • B. Nanchang
    Nanchang is the capital and largest city of Jiangxi Province in southeastern China, known as an important regional industrial and transportation hub.
  • C. Ganzhou
    Ganzhou is a major prefecture-level city in southern Jiangxi Province, China, known as a regional economic and transportation hub with a long history and rich cultural heritage.
  • D. Shaoshan City
    Shaoshan City is a county-level city in Hunan Province, China, best known as the birthplace of Mao Zedong and a significant site of "red tourism."
  • E. Shangrao
    Shangrao is a prefecture-level city in northeastern Jiangxi Province, China, known for its mountainous landscapes and proximity to popular scenic areas such as Mount Sanqing.
  • 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_69ca82b15e948190a62fd7af5218426a completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f7c425c8190aa1b2f534afeb58c completed March 31, 2026, 3:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc572058048190996fa77774bf44ba completed March 31, 2026, 11:22 p.m.
NEDg Description generation batch_69cc58edb31881909b6efd2fbbc2480e completed March 31, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cd22b188190b8a31e8e8ac8b98d completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:25 p.m.