Triple

T13872729
Position Surface form Disambiguated ID Type / Status
Subject Wu Dajing E333494 entity
Predicate givenName P17 FINISHED
Object Dajing
Dajing is a Chinese given name notably borne by Olympic short track speed skating champion Wu Dajing.
E1068865 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: Dajing | Statement: [Wu Dajing, givenName, Dajing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dajing
Context triple: [Wu Dajing, givenName, Dajing]
  • A. Dongjing
    Dongjing is the historical name for Kaifeng when it served as the capital of the Northern Song dynasty in China.
  • B. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • C. Jieshou
    Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • D. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • E. Yiheyuan
    Yiheyuan, known in English as the Summer Palace, is a vast imperial garden and former royal retreat in Beijing famed for its lakes, palaces, and classical Chinese landscape design.
  • 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: Dajing
Triple: [Wu Dajing, givenName, Dajing]
Generated description
Dajing is a Chinese given name notably borne by Olympic short track speed skating champion Wu Dajing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dajing
Target entity description: Dajing is a Chinese given name notably borne by Olympic short track speed skating champion Wu Dajing.
  • A. Dongjing
    Dongjing is the historical name for Kaifeng when it served as the capital of the Northern Song dynasty in China.
  • B. Jianye
    Jianye is an ancient name for the city now known as Nanjing, a historically significant capital in several Chinese dynasties.
  • C. Jieshou
    Jieshou is a county-level city administered by Fuyang in Anhui Province, eastern China.
  • D. Xinjing
    Xinjing was the capital city of the Japanese puppet state of Manchukuo in northeastern China during the 1930s and early 1940s.
  • E. Yiheyuan
    Yiheyuan, known in English as the Summer Palace, is a vast imperial garden and former royal retreat in Beijing famed for its lakes, palaces, and classical Chinese landscape design.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c638248190bbe5d19f7b88d0f9 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c70e48788190997562e045f3b014 completed May 3, 2026, 10:07 p.m.
NEDg Description generation batch_69f7c8d477f881908f8cfd2783e7f10f completed May 3, 2026, 10:14 p.m.
NED2 Entity disambiguation (via description) batch_69f7ca27ffd4819080bccd6bfd88ddb3 completed May 3, 2026, 10:20 p.m.
Created at: April 9, 2026, 10:14 p.m.