Triple
T18616082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maharana Pratap Sagar |
E455023
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | man-made reservoir |
C20500
|
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: man-made reservoir Context triple: [Maharana Pratap Sagar, instanceOf, man-made reservoir]
-
A.
man-made lake
A man-made lake is an artificial body of standing water created by human intervention, typically through damming rivers or excavating land, for purposes such as water supply, recreation, irrigation, or hydroelectric power.
-
B.
reservoir dam
A reservoir dam is a large engineered barrier built across a watercourse to store and regulate water in an upstream reservoir for purposes such as water supply, flood control, irrigation, and power generation.
-
C.
man-made basin
A man-made basin is an artificially constructed depression or container designed to hold or manage water or other liquids for purposes such as storage, irrigation, drainage, or industrial use.
-
D.
water reservoir
chosen
A water reservoir is a man-made or natural storage area designed to collect, hold, and regulate water for uses such as drinking supply, irrigation, flood control, and power generation.
-
E.
water reservoir complex
A water reservoir complex is an integrated system of interconnected reservoirs, infrastructure, and control facilities designed to store, manage, and distribute water for purposes such as supply, irrigation, flood control, and 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.