Triple
T3261467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oroville Dam |
E68419
|
entity |
| Predicate | providesWaterSupplyFor |
P4360
|
FINISHED |
| Object | municipal and industrial users in California |
—
|
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: municipal and industrial users in California | Statement: [Oroville Dam, providesWaterSupplyFor, municipal and industrial users in California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesWaterSupplyFor Context triple: [Oroville Dam, providesWaterSupplyFor, municipal and industrial users in California]
-
A.
waterSourceDedicatedTo
Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
-
B.
sourceOfWaterSupply
chosen
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
C.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
D.
managesWaterFrom
Indicates that one entity is responsible for controlling, directing, or handling water originating from another entity.
-
E.
transportsWaterTo
Indicates that one entity carries or conveys water from its location or source to another entity or destination.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafa7fea08190b089b6174fd7cd32 |
completed | March 8, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:09 p.m.