Triple
T13299519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Tai |
E316769
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Shanglin Zhuang |
E1035005
|
NE FINISHED |
How this triple was built (2 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: Shanglin Zhuang | Statement: [Central Tai, hasLanguage, Shanglin Zhuang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shanglin Zhuang Context triple: [Central Tai, hasLanguage, Shanglin Zhuang]
-
A.
Lianshan Zhuang
Lianshan Zhuang is a Tai language spoken by the Zhuang people in the Lianshan area of Guangdong, China.
-
B.
Debao Zhuang
chosen
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.
-
C.
Linluo Township
Linluo Township is a rural administrative township located in Pingtung County in southern Taiwan.
-
D.
Xinzhuang
Xinzhuang is a major suburban town and transportation hub in Shanghai, China, known for its busy commercial areas and key metro and rail connections.
-
E.
Fangzhuang
Fangzhuang is a residential neighborhood and commercial area in Beijing, China, known as one of the city’s earlier large-scale planned communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f73977c2a88190846b579cc324f8b3 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:28 p.m.