Triple
T11206121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuckerberg Institute for Water Research |
E265166
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | water research institute |
C20441
|
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: water research institute Context triple: [Zuckerberg Institute for Water Research, instanceOf, water research institute]
-
A.
water resources programme
A water resources programme is an organized set of policies, projects, and management activities aimed at sustainably developing, allocating, protecting, and monitoring water resources to meet environmental, social, and economic needs.
-
B.
water management agency
A water management agency is an organization responsible for planning, regulating, and overseeing the sustainable allocation, use, and protection of water resources within a defined region.
-
C.
water conference
A water conference is a formal gathering of experts, policymakers, stakeholders, and practitioners focused on discussing, planning, and collaborating around water-related issues such as resource management, sustainability, technology, and policy.
-
D.
earth science research centre
chosen
A facility dedicated to conducting scientific investigations and analyses of Earth's systems, including its atmosphere, oceans, landforms, and ecosystems, to advance understanding of environmental processes and changes.
-
E.
water data information system
A water data information system is an integrated platform that collects, stores, analyzes, and disseminates water-related data (such as quality, quantity, usage, and distribution) to support monitoring, decision-making, and resource management.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
Created at: April 8, 2026, 9:30 p.m.