Triple
T35574053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Radisson, Quebec |
E1028023
|
entity |
| Predicate | nearbyHydroelectricGeneratingStation |
P120742
|
FINISHED |
| Object | Robert-Bourassa generating station |
—
|
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 generating station | Statement: [Radisson, Quebec, nearbyHydroelectricGeneratingStation, Robert-Bourassa generating station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyHydroelectricGeneratingStation Context triple: [Radisson, Quebec, nearbyHydroelectricGeneratingStation, Robert-Bourassa generating station]
-
A.
hasHydroelectricInfrastructureNearby
Indicates that there is hydroelectric infrastructure located in close proximity to the referenced entity.
-
B.
hasNearbyPowerPlants
chosen
Indicates that one entity is located close to one or more power plants.
-
C.
hasHydropowerRoleIn
Indicates that an entity plays a specific role or function related to hydropower within the context of another entity, project, or activity.
-
D.
nearbyDownstreamDam
Indicates that one dam is located a short distance downstream from another along the same watercourse.
-
E.
numberOfHydroelectricStations
Indicates the quantity of hydroelectric power stations associated with a given entity.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fec8aef1d8819094c7fd7074038e6b |
completed | May 9, 2026, 5:39 a.m. |
| PD | Predicate disambiguation | batch_69fec639876481908efd84a3631a4271 |
completed | May 9, 2026, 5:29 a.m. |
Created at: May 3, 2026, 4:04 p.m.