Triple
T32383535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nanchang dialect |
E827484
|
entity |
| Predicate | isRepresentativeVarietyOf |
P174009
|
FINISHED |
| Object | Gan Chinese |
—
|
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: Gan Chinese | Statement: [Nanchang dialect, isRepresentativeVarietyOf, Gan Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRepresentativeVarietyOf Context triple: [Nanchang dialect, isRepresentativeVarietyOf, Gan Chinese]
-
A.
isPrimaryVarietyOf
Indicates that one variety is the main or principal form of another related variety or entity.
-
B.
isRecognizedAsVarietyOf
Indicates that one entity is acknowledged or classified as a specific variety or subtype of another entity.
-
C.
isInlandVarietyOf
Indicates that one entity is a variety or subtype of another that occurs specifically in inland (non-coastal) areas.
-
D.
isRepresentiveOf
Indicates that one entity serves as an official agent, spokesperson, or proxy acting on behalf of another entity.
-
E.
referenceVarietyFor
Indicates that one entity is used as the standard or benchmark variety against which another entity is referenced or compared.
- F. None of above. chosen
Provenance (4 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_69f349177ddc8190ab0583f05597056b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c1cde63c8190ad546f0a9b61b2a1 |
completed | May 3, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6eb32c8190bf405b2011fa48f7 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bb344bb48190a8089f29c0063ded |
completed | May 3, 2026, 3:04 a.m. |
Created at: May 1, 2026, 12:51 a.m.