Triple
T34538167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walsum power station |
E886727
|
entity |
| Predicate | hasCoolingTower |
—
|
GENERATED |
| Object | yes |
—
|
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: hasCoolingTower Context triple: [Walsum power station, hasCoolingTower, yes]
-
A.
hasCoolingTowerType
Indicates that an entity is associated with, or equipped with, a specific type or category of cooling tower.
-
B.
hasCoolingTowers
chosen
Indicates that an entity possesses or is equipped with one or more cooling towers as part of its infrastructure or system.
-
C.
servesAsCoolingWaterFor
Indicates that one entity functions as the cooling water medium used to absorb and remove heat from another entity.
-
D.
hasCoolingSource
Indicates that one entity provides or serves as a cooling source for another entity.
-
E.
hasCoolingFlow
Indicates that an entity is equipped with or utilizes a system or mechanism to remove heat or maintain a lower temperature through the flow of a cooling medium.
- F. None of above.
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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 2:02 a.m.