Triple
T21985379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fountain Valley |
E542945
|
entity |
| Predicate | hasWaterSupplyType |
P47163
|
FINISHED |
| Object | transbasin-diverted water |
—
|
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: transbasin-diverted water | Statement: [Fountain Valley, hasWaterSupplyType, transbasin-diverted water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaterSupplyType Context triple: [Fountain Valley, hasWaterSupplyType, transbasin-diverted water]
-
A.
hasWaterResourceType
chosen
Indicates that an entity is associated with a specific type or category of water resource.
-
B.
sourceOfWaterSupply
Indicates that one entity serves as the origin or provider of another entity’s water supply.
-
C.
hasWaterUse
Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
-
D.
hasDrinkingWaterFacilities
Indicates that a place or facility provides access to safe drinking water sources or infrastructure for people to use.
-
E.
isPartOfWaterSystem
Indicates that one entity is a component, segment, or subsystem within a larger water distribution, treatment, or management system.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12708cdcc81909511d9f81bd8f20e |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:04 p.m.