Triple
T15936861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danube Water Quality Reports |
E386461
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | water quality monitoring report |
C36709
|
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 quality monitoring report Context triple: [Danube Water Quality Reports, instanceOf, water quality monitoring report]
-
A.
drinking water quality report
A drinking water quality report is a document that summarizes the sources, treatment processes, and measured levels of various contaminants in a public water supply to inform consumers about its safety and compliance with regulatory standards.
-
B.
water quality standard
A water quality standard is a regulatory benchmark that defines acceptable concentrations of pollutants and conditions in water bodies to protect human health, aquatic life, and environmental integrity.
-
C.
water pollution control program
A water pollution control program is an organized set of policies, regulations, monitoring activities, and treatment measures designed to prevent, reduce, and manage contaminants entering water bodies to protect human health and aquatic ecosystems.
-
D.
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.
-
E.
water source
A water source is any natural or artificial origin from which water is obtained for ecological, domestic, agricultural, or industrial use.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
Created at: April 10, 2026, 4:53 a.m.