Triple

T14818489
Position Surface form Disambiguated ID Type / Status
Subject Da Yuan E348380 entity
Predicate eraName P2938 FINISHED
Object Zhiyuan
Zhiyuan was the reign title used during a significant period of the Yuan dynasty under Kublai Khan in imperial China.
 E1121540 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: Zhiyuan | Statement: [Da Yuan, eraName, Zhiyuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zhiyuan
Context triple: [Da Yuan, eraName, Zhiyuan]
  • A. Zhiyuan
    Zhiyuan was a late 19th-century protected cruiser of the Qing Dynasty’s Beiyang Fleet, best known for its role and sinking in the First Sino-Japanese War.
  • B. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • C. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • D. Yuanpei
    Yuanpei is the given name of Cai Yuanpei, a prominent Chinese educator and reformer who served as president of Peking University in the early 20th century.
  • E. 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.
  • 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: Zhiyuan
Triple: [Da Yuan, eraName, Zhiyuan]
Generated description
Zhiyuan was the reign title used during a significant period of the Yuan dynasty under Kublai Khan in imperial China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zhiyuan
Target entity description: Zhiyuan was the reign title used during a significant period of the Yuan dynasty under Kublai Khan in imperial China.
  • A. Zhiyuan
    Zhiyuan was a late 19th-century protected cruiser of the Qing Dynasty’s Beiyang Fleet, best known for its role and sinking in the First Sino-Japanese War.
  • B. Zheyuan
    Zheyuan is a given name most notably borne by the Chinese general and politician Song Zheyuan.
  • C. Zhihong
    Zhihong is a Chinese given name that represents an alternative romanization of the name Zhizhong.
  • D. Yuanpei
    Yuanpei is the given name of Cai Yuanpei, a prominent Chinese educator and reformer who served as president of Peking University in the early 20th century.
  • E. 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.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe4cf38819090f25ef045351d5d completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389940e081908ad627955cb8d52e completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe3a315d2c81908db44e7792908e39 completed May 8, 2026, 7:32 p.m.
NED2 Entity disambiguation (via description) batch_69fe3bda81cc8190b256ec6284383dde completed May 8, 2026, 7:39 p.m.
Created at: April 10, 2026, 1:50 a.m.