Triple
T35537790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kern River Pipeline |
E1026975
|
entity |
| Predicate | hasCompressorStations |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompressorStations Context triple: [Kern River Pipeline, hasCompressorStations, true]
-
A.
hasPumpingStation
Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
-
B.
hasDedicatedStations
Indicates that specific stations are exclusively assigned or reserved for a particular entity or purpose.
-
C.
hasVacuumSystem
Indicates that one entity is equipped with, or includes as a component, a vacuum system.
-
D.
compressorType
Indicates the specific kind or category of compressor associated with an entity.
-
E.
hasChillerPlant
Indicates that one entity possesses, includes, or is equipped with a chiller plant as part of its systems or facilities.
- F. None of above. chosen
Provenance (1 batch)
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_69f76dff7e508190b28ceeee770dce23 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:04 p.m.