Triple

T7925671
Position Surface form Disambiguated ID Type / Status
Subject Emperor Jing of Han E184053 entity
Predicate eraName P2938 FINISHED
Object Houyuan
Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
 E708260 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: Houyuan | Statement: [Emperor Jing of Han, eraName, Houyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Houyuan
Context triple: [Emperor Jing of Han, eraName, Houyuan]
  • A. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • B. Wuyuan
    Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
  • C. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • D. Huangcun
    Huangcun is a town in Beijing, China, that serves as the administrative and commercial center of the city's southern Daxing District.
  • E. Lincang
    Lincang is a prefecture-level city in southwestern China known for its tea production, diverse ethnic cultures, and location near the border with Myanmar.
  • 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: Houyuan
Triple: [Emperor Jing of Han, eraName, Houyuan]
Generated description
Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Houyuan
Target entity description: Houyuan was a historical Chinese era name used during the reign of Emperor Jing of the Western Han dynasty.
  • A. Zhaoyuan
    Zhaoyuan is a county-level city in eastern China's Shandong province, known for its rich gold mining industry and economic development.
  • B. Wuyuan
    Wuyuan is a historic county in northeastern Jiangxi, China, famed for its well-preserved Huizhou-style architecture and picturesque rural landscapes.
  • C. Yongcheng
    Yongcheng was a Qing dynasty imperial prince, known as one of the sons of the Qianlong Emperor of China.
  • D. Huangcun
    Huangcun is a town in Beijing, China, that serves as the administrative and commercial center of the city's southern Daxing District.
  • E. Lincang
    Lincang is a prefecture-level city in southwestern China known for its tea production, diverse ethnic cultures, and location near the border with Myanmar.
  • 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_69ca828fe7bc819090f52c88dcd72183 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aad48908190911905b4635bf01e completed March 31, 2026, 3:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5643fd3081908fc9a413a7920145 completed March 31, 2026, 11:18 p.m.
NEDg Description generation batch_69cc58a76b90819092de63b3b23e70af completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cfccc9c8190adcbaee96c17711e completed March 31, 2026, 11:47 p.m.
Created at: March 30, 2026, 5:06 p.m.