Triple
T24221198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roza Dam |
E601461
|
entity |
| Predicate | waterSupplyProject |
P154396
|
FINISHED |
| Object | Roza Irrigation District |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Roza Irrigation District | Statement: [Roza Dam, waterSupplyProject, Roza Irrigation District]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSupplyProject Context triple: [Roza Dam, waterSupplyProject, Roza Irrigation District]
-
A.
waterSupplyProjectFor
chosen
Indicates that a water supply project is undertaken for the benefit or service of a particular entity.
-
B.
waterSourceProject
Indicates a project or initiative aimed at providing, improving, or managing a source of water for a place or community.
-
C.
waterInfrastructure
Indicates the existence, development, or management of systems and facilities that supply, store, treat, or distribute water between entities.
-
D.
waterProjectComponentType
Indicates the specific functional type or category that a component belongs to within a water-related project.
-
E.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
- F. None of above.
Provenance (3 batches)
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_69e29537ca548190b94a37ebe1977caf |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f287d9cb4481909a77616dc123d16b |
completed | April 29, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:59 p.m.