Triple

T5549017
Position Surface form Disambiguated ID Type / Status
Subject Temür Khan E145478 entity
Predicate eraName P2938 FINISHED
Object Yuanzhen
Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
 E542328 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: Yuanzhen | Statement: [Temür Khan, eraName, Yuanzhen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yuanzhen
Context triple: [Temür Khan, eraName, Yuanzhen]
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • 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: Yuanzhen
Triple: [Temür Khan, eraName, Yuanzhen]
Generated description
Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yuanzhen
Target entity description: Yuanzhen was the Chinese era name used during the reign of Temür Khan, the second emperor of the Yuan dynasty.
  • A. Zhenyuan
    Zhenyuan was a late 19th-century Chinese ironclad battleship of the Beiyang Fleet that played a prominent role in the First Sino-Japanese War.
  • B. Xuan
    Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
  • C. Zhizhong
    Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
  • D. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • E. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • 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_69c008fb879c81909f5bfa56fadc1d46 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fe143ec8190bb67d2530c92a419 completed March 22, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059e39b7c81908c5eb3e940366562 completed March 22, 2026, 9:06 p.m.
NEDg Description generation batch_69c05e02edc48190938613946f19df01 completed March 22, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c06209c3588190a6ededf9c198d5c5 completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:35 p.m.