Triple

T5680172
Position Surface form Disambiguated ID Type / Status
Subject Daozang E125180 entity
Predicate hasPart P35 FINISHED
Object Taiqing bu
Taiqing bu is a major division of the Daoist Canon comprising texts focused on alchemical practices, meditation, and methods for attaining transcendence.
E542493 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: Taiqing bu | Statement: [Daozang, hasPart, Taiqing bu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taiqing bu
Context triple: [Daozang, hasPart, Taiqing bu]
  • A. Tianwang Dian
    Tianwang Dian is a main entrance hall in many Chinese Buddhist temples, dedicated to the Four Heavenly Kings who protect the Dharma.
  • B. Tien Quan Ca
    Tien Quan Ca is a Vietnamese patriotic song composed by Văn Cao that later became the national anthem of Vietnam.
  • C. Yingtian
    Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
  • D. Xingzhen
    Xingzhen was the personal given name of Empress Dowager Cixi, the powerful de facto ruler of the late Qing dynasty in China.
  • E. Tuqiao
    Tuqiao is a station in Beijing that serves as the eastern terminus of the city's Batong Line metro route.
  • 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: Taiqing bu
Triple: [Daozang, hasPart, Taiqing bu]
Generated description
Taiqing bu is a major division of the Daoist Canon comprising texts focused on alchemical practices, meditation, and methods for attaining transcendence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Taiqing bu
Target entity description: Taiqing bu is a major division of the Daoist Canon comprising texts focused on alchemical practices, meditation, and methods for attaining transcendence.
  • A. Tianwang Dian
    Tianwang Dian is a main entrance hall in many Chinese Buddhist temples, dedicated to the Four Heavenly Kings who protect the Dharma.
  • B. Tien Quan Ca
    Tien Quan Ca is a Vietnamese patriotic song composed by Văn Cao that later became the national anthem of Vietnam.
  • C. Yingtian
    Yingtian was an important early Ming dynasty capital city, historically centered around present-day Nanjing in China.
  • D. Tui shou
    Tui shou is a traditional Chinese tai chi training practice involving partnered, cooperative pushing and yielding exercises to develop sensitivity, balance, and internal power.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02397c01081909793bb53ad7cbbce completed March 22, 2026, 5:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a3211b08190868811db3d5268b1 completed March 22, 2026, 9:08 p.m.
NEDg Description generation batch_69c05be7f7cc8190bb1f8081289c5e02 completed March 22, 2026, 9:15 p.m.
NED2 Entity disambiguation (via description) batch_69c06209c3588190a6ededf9c198d5c5 completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:44 p.m.