Triple
T35230968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 小清河 |
E1017231
|
entity |
| Predicate | 环境功能 |
P129503
|
FINISHED |
| Object | 维持区域生态平衡 |
—
|
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: 维持区域生态平衡 | Statement: [小清河, 环境功能, 维持区域生态平衡]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 环境功能 Context triple: [小清河, 环境功能, 维持区域生态平衡]
-
A.
生态定位
Indicates the ecological role or niche an organism occupies within its environment, including its functional position and interactions in the ecosystem.
-
B.
environmentalFactor
Indicates that one entity functions as an environmental influence or condition that affects another entity or process.
-
C.
environmentRole
chosen
Indicates the functional role or influence that one entity has within or upon a particular environment or environmental context.
-
D.
environmentalFocus
Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
-
E.
environmentalSignificance
Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
- 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_69f76de12e4c8190bc46b71a32858356 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.