Triple
T26649802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuaspring Desalination Plant |
E669018
|
entity |
| Predicate | typeOfWaterProduced |
P851
|
FINISHED |
| Object | drinking 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: drinking water | Statement: [Tuaspring Desalination Plant, typeOfWaterProduced, drinking water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWaterProduced Context triple: [Tuaspring Desalination Plant, typeOfWaterProduced, drinking water]
-
A.
waterType
chosen
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
-
B.
producesWaterMass
Indicates that one entity generates or yields a quantity of water as a result of its action or process.
-
C.
typeOfWaterManaged
Indicates the specific kind or category of water that is overseen, controlled, or handled within a management context.
-
D.
reservoirType
Indicates the specific kind or classification of a reservoir associated with an entity.
-
E.
waterDivertedThrough
Indicates that the flow of water is intentionally redirected from its original course to pass through a specified structure, channel, or location.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fd09840ea88190a2e6d7e577ade717 |
completed | May 7, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69fd064c49988190afadddbd04d7cb94 |
completed | May 7, 2026, 9:38 p.m. |
Created at: April 27, 2026, 2:32 a.m.