Triple

T22549849
Position Surface form Disambiguated ID Type / Status
Subject Xiaoerjing E557529 entity
Predicate hasAlternativeName P39 FINISHED
Object Xiaojing
Xiaojing is an alternative name for Xiaoerjing, a writing system that uses the Arabic script to transcribe Chinese.
E1541509 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: Xiaojing | Statement: [Xiaoerjing, hasAlternativeName, Xiaojing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xiaojing
Context triple: [Xiaoerjing, hasAlternativeName, Xiaojing]
  • A. Xiaojing
    Xiaojing is the temple name of a Chinese emperor historically honored in ancestral rites and official records.
  • B. Jingyu
    Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
  • C. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • D. Jing
    Jing is the painted-face role type in Peking opera, known for its forceful singing, exaggerated facial makeup, and bold, authoritative characters.
  • E. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • 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: Xiaojing
Triple: [Xiaoerjing, hasAlternativeName, Xiaojing]
Generated description
Xiaojing is an alternative name for Xiaoerjing, a writing system that uses the Arabic script to transcribe Chinese.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xiaojing
Target entity description: Xiaojing is an alternative name for Xiaoerjing, a writing system that uses the Arabic script to transcribe Chinese.
  • A. Xiaojing
    Xiaojing is the temple name of a Chinese emperor historically honored in ancestral rites and official records.
  • B. Jingyu
    Jingyu is a Chinese given name that can be used for people of any gender and carries various meanings depending on the characters used to write it.
  • C. Xingqing
    Xingqing was the principal city and political center of the Tangut-led Western Xia dynasty in northwestern China.
  • D. Jing
    Jing is a common Chinese surname shared by various notable figures across fields such as entertainment, sports, and academia.
  • E. Jing
    Jing is the painted-face role type in Peking opera, known for its forceful singing, exaggerated facial makeup, and bold, authoritative characters.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f74512c8190b5369e19a4bc6325 completed April 29, 2026, 1:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b1deea53881909a0a2ffbcceb6ea7 completed May 18, 2026, 2:10 p.m.
NEDg Description generation batch_6a0b1eac7c448190992542de2c156b05 completed May 18, 2026, 2:14 p.m.
NED2 Entity disambiguation (via description) batch_6a0b1f3db4748190980d183b81c3ea43 completed May 18, 2026, 2:16 p.m.
Created at: April 16, 2026, 8:52 p.m.