Triple
T13428820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Tai |
E313552
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Lianshan Zhuang |
E1033825
|
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: Lianshan Zhuang | Statement: [Northern Tai, hasMember, Lianshan Zhuang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lianshan Zhuang Context triple: [Northern Tai, hasMember, Lianshan Zhuang]
-
A.
Lianshan Zhuang
chosen
Lianshan Zhuang is a Tai language spoken by the Zhuang people in the Lianshan area of Guangdong, China.
-
B.
Liangjiazhuang
Liangjiazhuang is a town in Shanxi Province, China, that serves as the administrative center of Wutai County.
-
C.
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.
-
D.
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.
-
E.
Junlian County
Junlian County is a county-level administrative region under the jurisdiction of Yibin City in Sichuan Province, China, known for its mountainous terrain and agricultural economy.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7461f44b08190802290db7a4e6a5e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:40 p.m.