Triple

T8066400
Position Surface form Disambiguated ID Type / Status
Subject State of Yue E188253 entity
Predicate capital P234 FINISHED
Object Kuaiji
Kuaiji was an important ancient Chinese city in what is now Shaoxing, Zhejiang, historically known as a political and cultural center in the Yue region.
 E709526 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: Kuaiji | Statement: [State of Yue, capital, Kuaiji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kuaiji
Context triple: [State of Yue, capital, Kuaiji]
  • A. Kaibao
    Kaibao was the era name marking the early reign of Emperor Taizu, founder of China’s Song dynasty.
  • B. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • C. Bǎojī
    Bǎojī is the Hanyu Pinyin romanization of the name of Baoji, a prefecture-level city in Shaanxi Province, China.
  • D. Huangjian
    Huangjian was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Shiqi
    Shiqi was a historical administrative and commercial center that served as the capital of Xiangshan County in Guangdong during the Qing Empire.
  • 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: Kuaiji
Triple: [State of Yue, capital, Kuaiji]
Generated description
Kuaiji was an important ancient Chinese city in what is now Shaoxing, Zhejiang, historically known as a political and cultural center in the Yue region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kuaiji
Target entity description: Kuaiji was an important ancient Chinese city in what is now Shaoxing, Zhejiang, historically known as a political and cultural center in the Yue region.
  • A. Kaibao
    Kaibao was the era name marking the early reign of Emperor Taizu, founder of China’s Song dynasty.
  • B. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • C. Bǎojī
    Bǎojī is the Hanyu Pinyin romanization of the name of Baoji, a prefecture-level city in Shaanxi Province, China.
  • D. Huangjian
    Huangjian was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
  • E. Shiqi
    Shiqi was a historical administrative and commercial center that served as the capital of Xiangshan County in Guangdong during the Qing Empire.
  • 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_69ca82b42674819086840efea12478e5 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ff75d208190b7c53d2fe55878ac completed March 31, 2026, 3:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63e1ed44819083ed9db6c9d7b0fd completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651c5f788190908c6d84c58cba0f completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc6649d2348190996802140b455348 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:26 p.m.