Triple
T32920180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 湖北省部分地区 |
E842122
|
entity |
| Predicate | 方言类型 |
P76528
|
FINISHED |
| Object | 湘语方言 |
—
|
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: 湘语方言 | Statement: [湖北省部分地区, 方言类型, 湘语方言]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 方言类型 Context triple: [湖北省部分地区, 方言类型, 湘语方言]
-
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.
dialectDocumentation
Indicates that there exists documentation or descriptive information specifically about a particular dialect or dialectal variety.
-
C.
partOfLinguisticVariety
Indicates that one linguistic variety (such as a dialect, register, or style) is a constituent or subset of another, broader linguistic variety.
-
D.
dialectFamily
chosen
Indicates that one dialect belongs to, or is classified under, a particular dialect family.
-
E.
hasTraditionalDialect
Indicates that an entity possesses or is associated with a traditional form or variety of a language or dialect.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d0d604e88190ad06268f76137168 |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:19 a.m.