Triple
T13299514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Tai |
E316769
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Debao Zhuang
Debao Zhuang is a variety of the Zhuang language spoken in Debao County in Guangxi, China, belonging to the Central Tai branch of the Tai–Kadai language family.
|
E1035005
|
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: Debao Zhuang | Statement: [Central Tai, hasLanguage, Debao Zhuang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debao Zhuang Context triple: [Central Tai, hasLanguage, Debao Zhuang]
-
A.
Qiubei Zhuang
Qiubei Zhuang is a variety of the Zhuang language spoken by Zhuang communities in Qiubei County in southwestern China.
-
B.
Wuming Zhuang
Wuming Zhuang is a major variety of the Zhuang language spoken primarily in the Wuming District of Guangxi, China.
-
C.
Wugu District
Wugu District is an urban district of New Taipei City in northern Taiwan, known for its industrial areas and proximity to Taipei.
-
D.
Lianshan Zhuang
Lianshan Zhuang is a Tai language spoken by the Zhuang people in the Lianshan area of Guangdong, China.
-
E.
Diecai District
Diecai District is an urban district of Guilin in Guangxi, China, known for its scenic karst landscapes and role as part of the city’s core administrative area.
- 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: Debao Zhuang Triple: [Central Tai, hasLanguage, Debao Zhuang]
Generated description
Debao Zhuang is a variety of the Zhuang language spoken in Debao County in Guangxi, China, belonging to the Central Tai branch of the Tai–Kadai language family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debao Zhuang Target entity description: Debao Zhuang is a variety of the Zhuang language spoken in Debao County in Guangxi, China, belonging to the Central Tai branch of the Tai–Kadai language family.
-
A.
Qiubei Zhuang
Qiubei Zhuang is a variety of the Zhuang language spoken by Zhuang communities in Qiubei County in southwestern China.
-
B.
Wuming Zhuang
Wuming Zhuang is a major variety of the Zhuang language spoken primarily in the Wuming District of Guangxi, China.
-
C.
Wugu District
Wugu District is an urban district of New Taipei City in northern Taiwan, known for its industrial areas and proximity to Taipei.
-
D.
Lianshan Zhuang
Lianshan Zhuang is a Tai language spoken by the Zhuang people in the Lianshan area of Guangdong, China.
-
E.
Diecai District
Diecai District is an urban district of Guilin in Guangxi, China, known for its scenic karst landscapes and role as part of the city’s core administrative area.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a43ed88190a8dbbbd7d6d62dc4 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f262fd88190ba8871f8761a660b |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f720bb48f081908d67d330dcfc2953 |
completed | May 3, 2026, 10:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f721baaf34819081113c586fae013f |
completed | May 3, 2026, 10:21 a.m. |
Created at: April 9, 2026, 9:28 p.m.