Triple
T32920188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 湖北省部分地区 |
E842122
|
entity |
| Predicate | 语言区属性 |
P117324
|
FINISHED |
| Object | 非普通话方言区 |
—
|
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: 非普通话方言区 | Statement: [湖北省部分地区, 语言区属性, 非普通话方言区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 语言区属性 Context triple: [湖北省部分地区, 语言区属性, 非普通话方言区]
-
A.
languageArea
Indicates the geographic or cultural region in which a particular language is used or predominantly spoken.
-
B.
linguisticArea
Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
-
C.
linguisticStatusOfArea
chosen
Indicates the linguistic status or condition that characterizes a particular geographic area.
-
D.
hasLinguisticAreaFeature
Indicates that a linguistic area possesses or is characterized by a particular linguistic feature or property.
-
E.
primaryLanguageArea
Indicates that a specified region or area is one where a particular language is predominantly used or officially recognized as primary.
- 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.