Triple
T22431981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guangdong Romanization |
E554522
|
entity |
| Predicate | appliesToDialect |
P40502
|
FINISHED |
| Object | Gaoyang Yue |
—
|
NE NERFINISHED |
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: Gaoyang Yue | Statement: [Guangdong Romanization, appliesToDialect, Gaoyang Yue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaoyang Yue Context triple: [Guangdong Romanization, appliesToDialect, Gaoyang Yue]
-
A.
Gao-Yang Yue
chosen
Gao-Yang Yue is a regional variety of Yue Chinese spoken primarily in parts of Guangdong province in southern China.
-
B.
Gao Yin
Gao Yin was an emperor of the Northern Qi dynasty in ancient China, known for his brief and turbulent reign amid intense court intrigue and power struggles.
-
C.
Yingchao
Yingchao is the given name of Deng Yingchao, a prominent Chinese revolutionary leader and influential politician in the 20th century.
-
D.
Yaoqiang
Yaoqiang is the locality in Jinan, Shandong Province, China, whose name is used for Jinan Yaoqiang International Airport.
-
E.
Gao Yan
Gao Yan was a member of the ruling Gao clan that founded and led the Northern Qi dynasty in ancient China.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a32139481909baaf9275f5e0257 |
completed | April 29, 2026, 1:09 a.m. |
Created at: April 16, 2026, 8:47 p.m.