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.