Triple
T37505992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gro Intelligence |
E932093
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | climate data analytics company |
C64515
|
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 analytics company Context triple: [Gro Intelligence, instanceOf, climate data analytics company]
-
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.
collaborative data science platform
A collaborative data science platform is an integrated environment where multiple users can jointly develop, run, and share data workflows, analyses, and models using shared datasets, tools, and computational resources.
-
C.
data assimilation center
A data assimilation center is an operational facility that collects, quality-controls, and integrates diverse observational data into numerical models to produce consistent, up-to-date analyses and forecasts of environmental or system states.
-
D.
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.
-
E.
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.
- 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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:17 p.m.