Triple

T9501559
Position Surface form Disambiguated ID Type / Status
Subject Emperor Xianzong of Tang E229152 entity
Predicate reignName P32785 FINISHED
Object Yuanhe
Yuanhe was the era name used during the reign of Emperor Xianzong in the Tang dynasty, marking a specific period in Chinese imperial history.
 E803565 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: Yuanhe | Statement: [Emperor Xianzong of Tang, reignName, Yuanhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuanhe
Context triple: [Emperor Xianzong of Tang, reignName, Yuanhe]
  • A. Kaiyuan
    Kaiyuan is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China.
  • B. Yongyuan
    Yongyuan was the era name used during part of Emperor Zhang's rule in the Eastern Han dynasty of ancient China.
  • C. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • D. Yuanzhen
    Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • E. Yuanfu
    Yuanfu was the courtesy name of Lin Zexu, the prominent Qing dynasty official known for his role in suppressing the opium trade and helping trigger the First Opium War.
  • 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: Yuanhe
Triple: [Emperor Xianzong of Tang, reignName, Yuanhe]
Generated description
Yuanhe was the era name used during the reign of Emperor Xianzong in the Tang dynasty, marking a specific period in Chinese imperial history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuanhe
Target entity description: Yuanhe was the era name used during the reign of Emperor Xianzong in the Tang dynasty, marking a specific period in Chinese imperial history.
  • A. Kaiyuan
    Kaiyuan is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China.
  • B. Yongyuan
    Yongyuan was the era name used during part of Emperor Zhang's rule in the Eastern Han dynasty of ancient China.
  • C. Longcheng
    Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
  • D. Yuanzhen
    Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • E. Yuanfu
    Yuanfu was the courtesy name of Lin Zexu, the prominent Qing dynasty official known for his role in suppressing the opium trade and helping trigger the First Opium War.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd983d4b708190a4dfef1246986a26 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a10f7b08190b8e4d4bc3b9815c6 completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13af4a2d481908dbec71fa8c25c69 completed April 4, 2026, 4:23 p.m.
NED2 Entity disambiguation (via description) batch_69d13bb706a88190bc2eec00c3e52e94 completed April 4, 2026, 4:26 p.m.
Created at: March 30, 2026, 7:57 p.m.