Triple
T12393706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American River watershed infrastructure |
E296061
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | watershed infrastructure network |
C6053
|
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: watershed infrastructure network Context triple: [American River watershed infrastructure, instanceOf, watershed infrastructure network]
-
A.
waterway network
chosen
A waterway network is an interconnected system of natural and artificial water channels (such as rivers, canals, and streams) designed or utilized for the movement, distribution, and management of water and waterborne transport.
-
B.
water infrastructure
Water infrastructure encompasses the systems, facilities, and networks designed to source, treat, store, distribute, and manage water and wastewater for human, industrial, and environmental needs.
-
C.
watershed
A watershed is a land area that channels rainfall and snowmelt into streams and rivers, ultimately draining into a common outlet such as a larger river, lake, or ocean.
-
D.
drinking water infrastructure
Drinking water infrastructure comprises the interconnected systems, facilities, and technologies used to source, treat, store, and distribute safe potable water to consumers.
-
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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
Created at: April 8, 2026, 9:54 p.m.