Triple
T8688311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Decadal Oscillation |
E206221
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate variability pattern |
C3905
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: climate variability pattern Context triple: [Pacific Decadal Oscillation, instanceOf, climate variability pattern]
-
A.
climate phenomenon
A climate phenomenon is a recurring or notable pattern or event in the Earth’s climate system, such as El Niño or monsoon cycles, that significantly influences weather and environmental conditions over large regions and timescales.
-
B.
climate type
A climate type is a classification of a region’s long-term weather patterns, defined by characteristic ranges of temperature, precipitation, and seasonal variation.
-
C.
climate forecast product
A climate forecast product is an information package that provides scientifically derived predictions of future climate conditions (such as temperature, precipitation, or extreme events) over specified regions and time horizons to support planning and decision-making.
-
D.
climate research center
A climate research center is an institution dedicated to studying the Earth's climate system, analyzing environmental data, and developing scientific insights to understand and address climate change.
-
E.
atmospheric–oceanic oscillation
chosen
An atmospheric–oceanic oscillation is a large-scale, recurring pattern of coupled variations in the atmosphere and ocean that influences climate and weather over seasonal to multidecadal timescales.
- F. None of above.
Provenance (1 batch)
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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
Created at: March 30, 2026, 6:33 p.m.