Triple
T7581765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milankovitch cycles |
E179504
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate forcing mechanism |
C3904
|
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 forcing mechanism Context triple: [Milankovitch cycles, instanceOf, climate forcing mechanism]
-
A.
climate phenomenon
chosen
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 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.
-
C.
Earth system component
An Earth system component is a fundamental subsystem of the planet—such as the atmosphere, hydrosphere, biosphere, geosphere, or cryosphere—that interacts with other components through physical, chemical, and biological processes to shape Earth’s overall behavior.
-
D.
climate scientist
A climate scientist is a researcher who studies the Earth’s climate system, analyzes past and present climate data, and develops models to understand and predict climate change and its impacts.
-
E.
atmospheric feature
An atmospheric feature is any distinguishable structure, pattern, or phenomenon within a planet’s atmosphere, such as clouds, storms, or jet streams, that arises from atmospheric dynamics and composition.
- 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_69c69f327db881909a21ae3b156f8ded |
completed | March 27, 2026, 3:16 p.m. |
Created at: March 27, 2026, 3:52 p.m.