Triple
T32751196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 沅江 |
E837499
|
entity |
| Predicate | 对区域影响 |
P25846
|
FINISHED |
| Object | 对湘西地区生态环境具有重要影响 |
—
|
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: 对湘西地区生态环境具有重要影响 | Statement: [沅江, 对区域影响, 对湘西地区生态环境具有重要影响]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 对区域影响 Context triple: [沅江, 对区域影响, 对湘西地区生态环境具有重要影响]
-
A.
相关城市群
Indicates a relationship where an entity is associated with, belongs to, or is relevant to a particular urban agglomeration or city cluster.
-
B.
地域的役割
Indicates that something has a specific function, responsibility, or role within a particular region or locality.
-
C.
impactRegion
chosen
Indicates the geographic or spatial area that is affected or influenced by a particular event, action, or phenomenon.
-
D.
两岸著名区域
Indicates a relationship where an area is recognized as a famous or well-known region on both sides of the Taiwan Strait.
-
E.
都市景観への影響
Indicates the effect or impact that something has on the appearance, structure, or overall quality of the urban landscape.
- 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_69f34937f97c8190b7f84bea045df3ae |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:12 a.m.