Triple
T21283948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyari River |
E524603
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | urban drainage channel |
C6500
|
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: urban drainage channel Context triple: [Lyari River, instanceOf, urban drainage channel]
-
A.
drainage channel
chosen
A drainage channel is a constructed or natural linear feature designed to collect and convey excess surface or subsurface water away from an area to prevent flooding, erosion, or waterlogging.
-
B.
urban watercourse
An urban watercourse is a natural or engineered channel of flowing water that runs through a city or town, shaped and managed by surrounding urban infrastructure and land use.
-
C.
wastewater outfall tunnel
A wastewater outfall tunnel is an underground conduit that transports treated or untreated wastewater from collection or treatment facilities to a designated discharge point, typically in a river, lake, or ocean.
-
D.
canal infrastructure
Canal infrastructure encompasses the engineered systems, structures, and facilities—such as channels, locks, dams, embankments, and control mechanisms—designed to manage and support waterborne transport, irrigation, drainage, and water regulation along artificial waterways.
-
E.
engineered waterway
An engineered waterway is a human-made or heavily modified channel or system designed to control, convey, or manage water for purposes such as navigation, irrigation, drainage, flood control, or power generation.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
Created at: April 16, 2026, 4:03 p.m.