Triple
T33150904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Mokelumne River |
E848432
|
entity |
| Predicate | waterDivertedFor |
P20226
|
FINISHED |
| Object | East Bay urban water supply |
—
|
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: East Bay urban water supply | Statement: [Lower Mokelumne River, waterDivertedFor, East Bay urban water supply]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterDivertedFor Context triple: [Lower Mokelumne River, waterDivertedFor, East Bay urban water supply]
-
A.
waterDivertedFrom
Indicates that water is intentionally redirected or channeled away from one source, path, or location to another.
-
B.
waterDivertedThrough
Indicates that the flow of water is intentionally redirected from its original course to pass through a specified structure, channel, or location.
-
C.
waterDiversionBegan
Indicates that the process of redirecting water from its natural course or source was initiated.
-
D.
waterAllocatedTo
chosen
Indicates that a specified amount or portion of water has been designated or assigned for use by a particular entity, location, or purpose.
-
E.
waterUse
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
- 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_69f3495a458c8190a1d34b237ba0be3f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd49f6dbac81909744373a357b7982 |
completed | May 8, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69fd48ed68f481908374183c66a6b055 |
completed | May 8, 2026, 2:22 a.m. |
Created at: May 1, 2026, 1:28 a.m.