Triple

T5680168
Position Surface form Disambiguated ID Type / Status
Subject Daozang E125180 entity
Predicate hasPart P35 FINISHED
Object Dongshen bu
Dongshen bu is a section of the Daoist Canon (Daozang), comprising texts focused on a particular subset of Daoist teachings and practices.
E542489 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: Dongshen bu | Statement: [Daozang, hasPart, Dongshen bu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongshen bu
Context triple: [Daozang, hasPart, Dongshen bu]
  • A. Dong
    The Dong are an ethnic minority group in China, known for their distinctive wooden architecture, polyphonic folk singing, and concentration in the mountainous regions of southern China, including Guizhou Province.
  • B. Dongshan Liangjie
    Dongshan Liangjie was a 9th-century Chinese Chan master regarded as the founder of the Caodong (Sōtō) school of Zen Buddhism.
  • C. Dongfang
    Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
  • D. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • E. Dongmen
    Dongmen is a key Taipei Metro station in central Taipei that serves as a busy transfer point between multiple subway lines and nearby commercial and residential areas.
  • 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: Dongshen bu
Triple: [Daozang, hasPart, Dongshen bu]
Generated description
Dongshen bu is a section of the Daoist Canon (Daozang), comprising texts focused on a particular subset of Daoist teachings and practices.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dongshen bu
Target entity description: Dongshen bu is a section of the Daoist Canon (Daozang), comprising texts focused on a particular subset of Daoist teachings and practices.
  • A. Dong
    The Dong are an ethnic minority group in China, known for their distinctive wooden architecture, polyphonic folk singing, and concentration in the mountainous regions of southern China, including Guizhou Province.
  • B. Dongshan Liangjie
    Dongshan Liangjie was a 9th-century Chinese Chan master regarded as the founder of the Caodong (Sōtō) school of Zen Buddhism.
  • C. Dongfang
    Dongfang is a county-level coastal city in western Hainan Province, China, known for its tropical climate and maritime economy.
  • D. Da Yuan
    Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
  • E. Dongmen
    Dongmen is a key Taipei Metro station in central Taipei that serves as a busy transfer point between multiple subway lines and nearby commercial and residential areas.
  • 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.