Triple
T27542058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 客家话 |
E695260
|
entity |
| Predicate | 与其他方言关系 |
P78566
|
FINISHED |
| Object | 与粤语、闽南语等同属汉语方言 |
—
|
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: 与粤语、闽南语等同属汉语方言 | Statement: [客家话, 与其他方言关系, 与粤语、闽南语等同属汉语方言]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 与其他方言关系 Context triple: [客家话, 与其他方言关系, 与粤语、闽南语等同属汉语方言]
-
A.
areNonAustronesian
Indicates that the entities do not belong to or are not classified within the Austronesian language (or cultural-linguistic) family.
-
B.
notDialectOf
Indicates that one language variety is explicitly not considered a dialect of another language or variety.
-
C.
hasDialectalDifferenceWith
Indicates that two language varieties differ from each other in dialectal features such as pronunciation, vocabulary, or grammar.
-
D.
relatedDialect
chosen
Indicates that one dialect has a recognized linguistic relationship or close affinity to another dialect.
-
E.
languageFamilyRelation
Indicates a relationship where one language belongs to, descends from, or is otherwise classified within a particular language family.
- 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_69f623ac3a9c8190a6ee0c137b09e4b0 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:31 p.m.