Triple

T1654805
Position Surface form Disambiguated ID Type / Status
Subject Jiangxi Province E35773 entity
Predicate hasCity P316 FINISHED
Object Fuzhou (Jiangxi)
Fuzhou (Jiangxi) is a county-level city in eastern China that serves as an administrative and economic center within Jiangxi Province.
 E187003 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: Fuzhou (Jiangxi) | Statement: [Jiangxi Province, hasCity, Fuzhou (Jiangxi)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fuzhou (Jiangxi)
Context triple: [Jiangxi Province, hasCity, Fuzhou (Jiangxi)]
  • A. Nanchang
    Nanchang is the capital and largest city of Jiangxi Province in southeastern China, known as an important regional industrial and transportation hub.
  • B. Fuzhou
    Fuzhou is the capital and largest city of China’s Fujian Province, known as a major coastal and river port with a long history of maritime trade and cultural exchange.
  • C. Fuyang
    Fuyang is a major prefecture-level city in northwestern Anhui Province, China, known as a regional transportation and agricultural hub.
  • D. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • E. Fenghua
    Fenghua is a county-level city in Zhejiang Province, China, known as the hometown of former Chinese leader Chiang Kai-shek.
  • 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: Fuzhou (Jiangxi)
Triple: [Jiangxi Province, hasCity, Fuzhou (Jiangxi)]
Generated description
Fuzhou (Jiangxi) is a county-level city in eastern China that serves as an administrative and economic center within Jiangxi Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fuzhou (Jiangxi)
Target entity description: Fuzhou (Jiangxi) is a county-level city in eastern China that serves as an administrative and economic center within Jiangxi Province.
  • A. Nanchang
    Nanchang is the capital and largest city of Jiangxi Province in southeastern China, known as an important regional industrial and transportation hub.
  • B. Fuzhou
    Fuzhou is the capital and largest city of China’s Fujian Province, known as a major coastal and river port with a long history of maritime trade and cultural exchange.
  • C. Fuyang
    Fuyang is a major prefecture-level city in northwestern Anhui Province, China, known as a regional transportation and agricultural hub.
  • D. Xianning
    Xianning is a prefecture-level city in southeastern Hubei Province, China, known for its hot springs, karst landscapes, and historical sites.
  • E. Fenghua
    Fenghua is a county-level city in Zhejiang Province, China, known as the hometown of former Chinese leader Chiang Kai-shek.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a8b597c81908a62b41718d85df6 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ad3bb48190a096ff7813748168 completed March 8, 2026, 11:42 a.m.
NEDg Description generation batch_69ad61ff65b881909009c230780a146e completed March 8, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad62ec3a80819085fef1c378b9abdc completed March 8, 2026, 11:52 a.m.
Created at: March 4, 2026, 7:29 p.m.