Triple
T22045029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiping jing |
E544738
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Taipingjing
Taipingjing is an early Daoist scripture associated with millenarian and utopian teachings about achieving an era of "Great Peace" in Han China.
|
E1514778
|
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: Taipingjing | Statement: [Taiping jing, hasAlternativeName, Taipingjing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taipingjing Context triple: [Taiping jing, hasAlternativeName, Taipingjing]
-
A.
Taiping
Taiping is a historic town in the Malaysian state of Perak, known for its colonial-era architecture, lush lake gardens, and high annual rainfall.
-
B.
Yanjing
Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
-
C.
Zhengting
Zhengting is a Chinese singer, dancer, and member of the boy group NEXT, known for his participation in survival shows like "Produce 101 China."
-
D.
Dajing
Dajing is a Chinese given name notably borne by Olympic short track speed skating champion Wu Dajing.
-
E.
Dading
Dading was the era name used during the reign of Emperor Shizong of the Jurchen-led Jin dynasty in northern China.
- 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: Taipingjing Triple: [Taiping jing, hasAlternativeName, Taipingjing]
Generated description
Taipingjing is an early Daoist scripture associated with millenarian and utopian teachings about achieving an era of "Great Peace" in Han China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taipingjing Target entity description: Taipingjing is an early Daoist scripture associated with millenarian and utopian teachings about achieving an era of "Great Peace" in Han China.
-
A.
Taiping
Taiping is a historic town in the Malaysian state of Perak, known for its colonial-era architecture, lush lake gardens, and high annual rainfall.
-
B.
Yanjing
Yanjing was a historic Chinese capital city, best known as the former name of modern-day Beijing.
-
C.
Zhengting
Zhengting is a Chinese singer, dancer, and member of the boy group NEXT, known for his participation in survival shows like "Produce 101 China."
-
D.
Dajing
Dajing is a Chinese given name notably borne by Olympic short track speed skating champion Wu Dajing.
-
E.
Dading
Dading was the era name used during the reign of Emperor Shizong of the Jurchen-led Jin dynasty in northern 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1282e647481908e054b3ad19e2c15 |
completed | April 28, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7b7561e08190936fa796dec5bb5a |
completed | May 18, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_6a0a7c08b7608190b36cb1518275da1f |
completed | May 18, 2026, 2:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a7cc7ac38819092a5b84781120bff |
completed | May 18, 2026, 2:43 a.m. |
Created at: April 16, 2026, 8:25 p.m.