Triple

T9823830
Position Surface form Disambiguated ID Type / Status
Subject Wutai County E238603 entity
Predicate hasCapital P204 FINISHED
Object Liangjiazhuang
Liangjiazhuang is a town in Shanxi Province, China, that serves as the administrative center of Wutai County.
 E822497 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: Liangjiazhuang | Statement: [Wutai County, hasCapital, Liangjiazhuang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liangjiazhuang
Context triple: [Wutai County, hasCapital, Liangjiazhuang]
  • A. Xinzhuang
    Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
  • B. Fangzhuang
    Fangzhuang is a residential neighborhood and commercial area in Beijing, China, known as one of the city’s earlier large-scale planned communities.
  • C. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • D. Juxian
    Juxian is a county-level city in eastern China's Shandong province, known for its agricultural production and location on the Shandong Peninsula.
  • E. Zhushikou
    Zhushikou is a subway station on the Beijing Subway system serving the central area near Beijing’s historic old city.
  • 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: Liangjiazhuang
Triple: [Wutai County, hasCapital, Liangjiazhuang]
Generated description
Liangjiazhuang is a town in Shanxi Province, China, that serves as the administrative center of Wutai County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liangjiazhuang
Target entity description: Liangjiazhuang is a town in Shanxi Province, China, that serves as the administrative center of Wutai County.
  • A. Xinzhuang
    Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
  • B. Fangzhuang
    Fangzhuang is a residential neighborhood and commercial area in Beijing, China, known as one of the city’s earlier large-scale planned communities.
  • C. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • D. Juxian
    Juxian is a county-level city in eastern China's Shandong province, known for its agricultural production and location on the Shandong Peninsula.
  • E. Zhushikou
    Zhushikou is a subway station on the Beijing Subway system serving the central area near Beijing’s historic old city.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb316f8948190ada3738787a5cb6a completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1cc810bac8190a5ff94c0717e7706 completed April 5, 2026, 2:44 a.m.
NEDg Description generation batch_69d1cd5a04fc8190a78a1459b78962b1 completed April 5, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d1cdca61d481909f3394bf593f0bfb completed April 5, 2026, 2:49 a.m.
Created at: March 30, 2026, 8:31 p.m.