Triple

T12320306
Position Surface form Disambiguated ID Type / Status
Subject Qianxinan Buyi and Miao Autonomous Prefecture E293710 entity
Predicate capital P234 FINISHED
Object Xingyi
Xingyi is a county-level city in southwestern Guizhou, China, known as an administrative, economic, and transportation hub of the Qianxinan region.
 E973670 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: Xingyi | Statement: [Qianxinan Buyi and Miao Autonomous Prefecture, capital, Xingyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xingyi
Context triple: [Qianxinan Buyi and Miao Autonomous Prefecture, capital, Xingyi]
  • A. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • B. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • C. Jianyan
    Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
  • D. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • E. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • 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: Xingyi
Triple: [Qianxinan Buyi and Miao Autonomous Prefecture, capital, Xingyi]
Generated description
Xingyi is a county-level city in southwestern Guizhou, China, known as an administrative, economic, and transportation hub of the Qianxinan region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xingyi
Target entity description: Xingyi is a county-level city in southwestern Guizhou, China, known as an administrative, economic, and transportation hub of the Qianxinan region.
  • A. Xingyuan
    Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
  • B. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • C. Jianyan
    Jianyan was the reign era name marking the early rule of Emperor Gaozong during the Southern Song dynasty in China.
  • D. Yuanxing
    Yuanxing was the era name used by Eastern Wu emperor Sun Hao during part of his tumultuous late Three Kingdoms–period reign in China.
  • E. Guanggu
    Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4c2b548190938fff9427f07dc7 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e8aa94881908e4c184062037ab5 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5e20cc8190a84f50ddded76974 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62045b20c819083c755fbe99a9a7f completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:53 p.m.