Triple
T24221205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roza Dam |
E601461
|
entity |
| Predicate | managesIrrigationFor |
P8844
|
FINISHED |
| Object | agricultural lands in the Yakima Valley |
—
|
LITERAL FINISHED |
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: agricultural lands in the Yakima Valley | Statement: [Roza Dam, managesIrrigationFor, agricultural lands in the Yakima Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesIrrigationFor Context triple: [Roza Dam, managesIrrigationFor, agricultural lands in the Yakima Valley]
-
A.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
B.
usedIrrigation
Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
-
C.
hasIrrigationArea
Indicates that an entity possesses or is associated with a specific area of land equipped or designated for irrigation.
-
D.
irrigates
chosen
Indicates that one entity supplies water to another, typically land or crops, for the purpose of supporting growth or maintaining moisture.
-
E.
hasIrrigationDependence
Indicates that one entity relies on another entity or system to provide irrigation for its water needs.
- 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.