Triple
T27542039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 客家话 |
E695260
|
entity |
| Predicate | 代表方言点 |
P152424
|
FINISHED |
| Object | 广东五华话 |
—
|
LITERAL 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: 广东五华话 | Statement: [客家话, 代表方言点, 广东五华话]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 代表方言点 Context triple: [客家话, 代表方言点, 广东五华话]
-
A.
regionalDialect
Indicates that one entity uses or is associated with a dialect specific to a particular geographic region in relation to another entity.
-
B.
hasDialectContinuumWith
Indicates that two languages or dialects are part of a continuous chain of mutually intelligible varieties, without a clear boundary separating them.
-
C.
denotesLanguageVariety
chosen
Indicates that one entity specifies the particular variety, dialect, or form of language used or associated with another entity.
-
D.
hasDialectalDifferenceWith
Indicates that two language varieties differ from each other in dialectal features such as pronunciation, vocabulary, or grammar.
-
E.
regionOfDialectContinuum
Indicates that a dialect continuum is associated with, or occurs within, a specific geographic region.
- F. None of above.
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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f5ec8b481909241271f7d602dc9 |
completed | May 2, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:31 p.m.