Triple
T30031195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 博斯腾湖 |
E763020
|
entity |
| Predicate | 环境意义 |
P13098
|
FINISHED |
| Object | 调节区域气候 |
—
|
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: 调节区域气候 | Statement: [博斯腾湖, 环境意义, 调节区域气候]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 环境意义 Context triple: [博斯腾湖, 环境意义, 调节区域气候]
-
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.
environmentalSignificance
chosen
Indicates the importance or impact that something has on the natural environment, such as its role in conservation, degradation, or ecological balance.
-
C.
environmentalFocus
Indicates a relationship where an entity prioritizes or concentrates on environmental issues, impacts, or sustainability in its actions or policies.
-
D.
environmentRole
Indicates the functional role or influence that one entity has within or upon a particular environment or environmental context.
-
E.
environmentalProtectionGoal
Indicates a goal or objective specifically aimed at protecting, preserving, or improving the natural environment.
- 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_69f2246fb2b88190acff36bf7975c8f0 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f679afd2a88190856acb9e2d1f87d3 |
completed | May 2, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69f66ec9919881908a187bfc7c4df192 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:50 p.m.