Triple
T37185293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chulalongkorn University Centenary Park |
E921304
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | flood-mitigation landscape |
C18289
|
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: flood-mitigation landscape Context triple: [Chulalongkorn University Centenary Park, instanceOf, flood-mitigation landscape]
-
A.
flood risk reduction program
A flood risk reduction program is an organized set of policies, projects, and practices designed to lessen the likelihood and impacts of flooding on people, property, and the environment.
-
B.
Flood intelligence
Flood intelligence is the integrated capability to collect, analyze, predict, and communicate information about flood risks and events in real time to support effective preparedness, response, and resilience.
-
C.
flood control facility
chosen
A flood control facility is an engineered structure or system designed to manage, divert, store, or reduce excess water flow to prevent or mitigate flooding in surrounding areas.
-
D.
water level management practice
A water level management practice is a coordinated set of methods and operations used to monitor, control, and adjust water levels in natural or engineered systems to meet ecological, safety, and resource-use objectives.
-
E.
river conservancy
River conservancy is the management and protection of river ecosystems through planning, regulation, restoration, and sustainable use to maintain their ecological health and benefits to society.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.