Triple
T28746569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkeley Earth Surface Temperature project |
E731391
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate data analysis project |
C36689
|
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 analysis project Context triple: [Berkeley Earth Surface Temperature project, instanceOf, climate data analysis project]
-
A.
climate data record
A climate data record is a long-term, consistently processed time series of climate-related observations designed to accurately represent and monitor changes in the Earth’s climate system.
-
B.
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.
-
C.
climate information system
A climate information system is an integrated framework that collects, processes, analyzes, and disseminates climate and weather data to support decision-making, risk management, and policy development.
-
D.
climate research program
chosen
A climate research program is an organized, long-term initiative that systematically studies climate systems, impacts, and solutions through coordinated scientific investigations, data collection, and analysis.
-
E.
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.
- 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_69f043ecb5c081909ec9da1172d68ece |
completed | April 28, 2026, 5:21 a.m. |
Created at: April 28, 2026, 6:05 a.m.