Triple
T1625144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwestern Mandarin |
E35123
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Xinan Guanhua
Xinan Guanhua is a major regional variety of Mandarin Chinese spoken across much of southwestern China, including provinces such as Sichuan, Yunnan, and Guizhou.
|
E184519
|
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: Xinan Guanhua | Statement: [Southwestern Mandarin, alsoKnownAs, Xinan Guanhua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xinan Guanhua Context triple: [Southwestern Mandarin, alsoKnownAs, Xinan Guanhua]
-
A.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
-
B.
Chongxin
Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
-
C.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
D.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
E.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
- 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: Xinan Guanhua Triple: [Southwestern Mandarin, alsoKnownAs, Xinan Guanhua]
Generated description
Xinan Guanhua is a major regional variety of Mandarin Chinese spoken across much of southwestern China, including provinces such as Sichuan, Yunnan, and Guizhou.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xinan Guanhua Target entity description: Xinan Guanhua is a major regional variety of Mandarin Chinese spoken across much of southwestern China, including provinces such as Sichuan, Yunnan, and Guizhou.
-
A.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
-
B.
Chongxin
Chongxin is the Chinese given name of Joe Tsai, the Taiwanese-Canadian co-founder and executive vice chairman of Alibaba Group.
-
C.
Zhizhong
Zhizhong is a Chinese given name shared by various individuals, including historical and contemporary figures.
-
D.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
E.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909d19b008190b2224717b2909a78 |
completed | March 5, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d12e808190a1319b1c87bcd22e |
completed | March 8, 2026, 11:09 a.m. |
| NEDg | Description generation | batch_69ad59fede48819084a163ff73fbc1da |
completed | March 8, 2026, 11:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5a85071c8190bab5cefcd918bb8d |
completed | March 8, 2026, 11:16 a.m. |
Created at: March 4, 2026, 7:28 p.m.