Triple
T37982320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magathane Water Treatment Plant |
E947586
|
entity |
| Predicate | typeOfWaterTreated |
—
|
GENERATED |
| Object | potable water |
—
|
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: typeOfWaterTreated Context triple: [Magathane Water Treatment Plant, typeOfWaterTreated, potable water]
-
A.
waterUsedForTreatmentOf
Indicates that water is utilized in the process of treating, managing, or remedying a specified condition, substance, or entity.
-
B.
waterTreatedAt
Indicates that water has undergone treatment or purification at a specified facility or location.
-
C.
typeOfWaterManaged
Indicates the specific kind or category of water that is overseen, controlled, or handled within a management context.
-
D.
usesWaterTreatment
Indicates that an entity applies or relies on a water treatment process or system in its operations or activities.
-
E.
waterType
chosen
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
- 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_69f76ef8a1d08190a741bbbc5970e3b3 |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.