Triple
T23764729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert-Bourassa generating station |
E587345
|
entity |
| Predicate | usesWaterIntake |
P19373
|
FINISHED |
| Object | Robert-Bourassa Reservoir |
—
|
NE NERFINISHED |
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: Robert-Bourassa Reservoir | Statement: [Robert-Bourassa generating station, usesWaterIntake, Robert-Bourassa Reservoir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWaterIntake Context triple: [Robert-Bourassa generating station, usesWaterIntake, Robert-Bourassa Reservoir]
-
A.
hydrationSupport
Indicates that one entity provides or enhances the hydration of another entity, helping to maintain or improve its water balance.
-
B.
waterRequirement
Indicates the amount or conditions of water needed for an entity to grow, function, or be maintained properly.
-
C.
hydrationState
Indicates the current level or condition of how much water or fluid an entity contains or has available.
-
D.
hasWaterUse
Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
-
E.
waterUse
chosen
Indicates the amount or manner in which water is consumed, utilized, or withdrawn by an entity or activity.
- 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_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb4e9248190b64b063637b66702 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:15 p.m.