Triple

T17964845
Position Surface form Disambiguated ID Type / Status
Subject Gegeen Khan E449175 entity
Predicate eraName P2938 FINISHED
Object Zhizhi
Zhizhi was the era name used during the brief reign of Gegeen Khan, a Yuan dynasty emperor of the early 14th century.
 E1299077 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: Zhizhi | Statement: [Gegeen Khan, eraName, Zhizhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhizhi
Context triple: [Gegeen Khan, eraName, Zhizhi]
  • A. Ziqing
    Ziqing is the given name of Zhu Ziqing, a renowned early 20th-century Chinese essayist and poet known for his lyrical prose.
  • B. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • C. Ziying
    Ziying was the last ruler of the Qin dynasty in ancient China, whose brief reign ended with the dynasty’s collapse and the rise of the Han.
  • D. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • E. Zhi
    Zhi is a component or subpart of the larger entity or system known as Zhizhong.
  • 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: Zhizhi
Triple: [Gegeen Khan, eraName, Zhizhi]
Generated description
Zhizhi was the era name used during the brief reign of Gegeen Khan, a Yuan dynasty emperor of the early 14th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhizhi
Target entity description: Zhizhi was the era name used during the brief reign of Gegeen Khan, a Yuan dynasty emperor of the early 14th century.
  • A. Ziqing
    Ziqing is the given name of Zhu Ziqing, a renowned early 20th-century Chinese essayist and poet known for his lyrical prose.
  • B. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • C. Ziying
    Ziying was the last ruler of the Qin dynasty in ancient China, whose brief reign ended with the dynasty’s collapse and the rise of the Han.
  • D. Shaoqi
    Shaoqi is the given name of Liu Shaoqi, a prominent Chinese revolutionary leader and former President of the People’s Republic of China.
  • E. Zhi
    Zhi is a component or subpart of the larger entity or system known as Zhizhong.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b136e4088190ac97fd92dc84a4b9 completed April 19, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0330100f048190aba7448d9891cfdc completed May 12, 2026, 1:50 p.m.
NEDg Description generation batch_6a033146fbbc81908c28b8dc53517f53 completed May 12, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0333c5fb888190b73cbd9f032dbc6e completed May 12, 2026, 2:05 p.m.
Created at: April 10, 2026, 10:22 a.m.