Triple
T16431647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GISTEMP global surface temperature record |
E399082
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate data record |
C37447
|
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 data record Context triple: [GISTEMP global surface temperature record, instanceOf, climate data record]
-
A.
standardized climate modeling input
A standardized climate modeling input is a consistently formatted, quality-controlled dataset or parameter set designed to ensure comparability, reproducibility, and interoperability across different climate models and simulations.
-
B.
global environmental data centre
A global environmental data centre is an organization that collects, curates, archives, and distributes worldwide environmental and climate data to support research, policy-making, and public information.
-
C.
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.
-
D.
climate system
The climate system is the interconnected set of components—including the atmosphere, oceans, land surface, cryosphere, and biosphere—that together determine Earth’s long-term weather patterns and energy balance.
-
E.
climate model
A climate model is a computational representation of the Earth’s climate system that simulates interactions among the atmosphere, oceans, land surface, and ice to project past, present, and future climate conditions.
- F. None of above. chosen
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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 10, 2026, 5:10 a.m.