Triple
T4777657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Briscoe |
E106090
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | water resources expert |
C10136
|
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 resources expert Context triple: [John Briscoe, instanceOf, water resources expert]
-
A.
hydrologist
chosen
A hydrologist is a scientist who studies the distribution, movement, and quality of water on Earth to understand and manage water resources and related environmental impacts.
-
B.
water resources programme
A water resources programme is an organized set of policies, projects, and management activities aimed at sustainably developing, allocating, protecting, and monitoring water resources to meet environmental, social, and economic needs.
-
C.
water management project
A water management project is an organized initiative that plans, develops, and operates systems and practices to sustainably collect, store, distribute, and protect water resources for human and environmental needs.
-
D.
water management structure
A water management structure is a constructed facility or system designed to control, store, convey, or regulate the quantity and movement of water in natural or built environments.
-
E.
agricultural expert
An agricultural expert is a professional who applies scientific knowledge and practical experience to optimize crop and livestock production, manage natural resources sustainably, and advise stakeholders on best farming practices.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
Created at: March 20, 2026, 1:21 p.m.