Triple
T32920183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 湖北省部分地区 |
E842122
|
entity |
| Predicate | 属于 |
P175393
|
FINISHED |
| Object | 中国境内湘语分布区 |
—
|
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: 中国境内湘语分布区 | Statement: [湖北省部分地区, 属于, 中国境内湘语分布区]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 属于 Context triple: [湖北省部分地区, 属于, 中国境内湘语分布区]
-
A.
为
Indicates that the subject serves as or constitutes the role, identity, or classification expressed by the object.
-
B.
第
Indicates that the subject holds a specific ordinal position or rank within a numbered sequence of roles, titles, or entities.
-
C.
דת
Indicates a relationship where an entity is associated with, practices, or is characterized by a particular religion or religious affiliation.
-
D.
相关学院
Indicates a relationship where an entity is associated with, belongs to, or is administered by a particular college or faculty within an institution.
-
E.
相关政策
Indicates that there exists a relevant or associated policy that applies to, governs, or influences the specified entity or situation.
- 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_69f3494779388190a5d3e97f92278be2 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: May 1, 2026, 1:19 a.m.