Triple
T8369622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Đạo Mẫu |
E197420
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object |
Mẫu Thoải
Mẫu Thoải is the Vietnamese Mother Goddess of Water in the Đạo Mẫu tradition, governing rivers, seas, and aquatic realms.
|
E727066
|
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: Mẫu Thoải | Statement: [Đạo Mẫu, hasDeity, Mẫu Thoải]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mẫu Thoải Context triple: [Đạo Mẫu, hasDeity, Mẫu Thoải]
-
A.
Xuanhe
Xuanhe was an era name used during the reign of Emperor Huizong of the Song dynasty, marking a specific period in early 12th-century Chinese imperial history.
-
B.
Wanrong
Wanrong was the last empress of China as the consort of Puyi, the final emperor of the Qing dynasty.
-
C.
Lihuang
Lihuang is the given name of Wei Lihuang, a prominent Chinese Nationalist general who played key roles in several major campaigns during the Second Sino-Japanese War and the Chinese Civil War.
-
D.
Yanxi
Yanxi was a regnal era of the Shu Han state during China’s Three Kingdoms period.
-
E.
Lingzong
Lingzong is the posthumous temple name of Emperor Ling of Han, a late Eastern Han dynasty ruler whose troubled reign is associated with political corruption and the empire’s decline.
- 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: Mẫu Thoải Triple: [Đạo Mẫu, hasDeity, Mẫu Thoải]
Generated description
Mẫu Thoải is the Vietnamese Mother Goddess of Water in the Đạo Mẫu tradition, governing rivers, seas, and aquatic realms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mẫu Thoải Target entity description: Mẫu Thoải is the Vietnamese Mother Goddess of Water in the Đạo Mẫu tradition, governing rivers, seas, and aquatic realms.
-
A.
Xuanhe
Xuanhe was an era name used during the reign of Emperor Huizong of the Song dynasty, marking a specific period in early 12th-century Chinese imperial history.
-
B.
Wanrong
Wanrong was the last empress of China as the consort of Puyi, the final emperor of the Qing dynasty.
-
C.
Lihuang
Lihuang is the given name of Wei Lihuang, a prominent Chinese Nationalist general who played key roles in several major campaigns during the Second Sino-Japanese War and the Chinese Civil War.
-
D.
Yanxi
Yanxi was a regnal era of the Shu Han state during China’s Three Kingdoms period.
-
E.
Lingzong
Lingzong is the posthumous temple name of Emperor Ling of Han, a late Eastern Han dynasty ruler whose troubled reign is associated with political corruption and the empire’s decline.
- 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_69ca82f56730819080cec5d991c76f4c |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80a400888190bef114052f3c4f76 |
completed | March 31, 2026, 8:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc7929e388190b35505378d0cf653 |
completed | April 2, 2026, 1:34 a.m. |
| NEDg | Description generation | batch_69cdcc88ee7881909c81d55a5354cbae |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd366df88190aefa4fe9d5d470e6 |
completed | April 2, 2026, 1:58 a.m. |
Created at: March 30, 2026, 6:01 p.m.