Triple
T34341123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cache Creek Dam |
E881287
|
entity |
| Predicate | managesWaterResource |
P170548
|
FINISHED |
| Object | Cache Creek |
—
|
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: Cache Creek | Statement: [Cache Creek Dam, managesWaterResource, Cache Creek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: managesWaterResource Context triple: [Cache Creek Dam, managesWaterResource, Cache Creek]
-
A.
managesReservoir
Indicates that one entity is responsible for overseeing, operating, and controlling the use or condition of a reservoir.
-
B.
hydrologicalManagement
chosen
Indicates the management or regulation of water resources, flows, and related hydrological processes within a system or area.
-
C.
managesWaterFrom
Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
-
D.
typeOfWaterManaged
Indicates the specific kind or category of water that is overseen, controlled, or handled within a management context.
-
E.
waterManagementDependence
Indicates that one entity’s ability to manage water resources (such as supply, quality, or distribution) relies on or is significantly influenced by another entity.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 1:58 a.m.