Triple
T27352750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R. H. Saunders Generating Station |
E684405
|
entity |
| Predicate | isMajorGeneratingStationIn |
P136096
|
FINISHED |
| Object | Ontario |
—
|
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: Ontario | Statement: [R. H. Saunders Generating Station, isMajorGeneratingStationIn, Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorGeneratingStationIn Context triple: [R. H. Saunders Generating Station, isMajorGeneratingStationIn, Ontario]
-
A.
oneOfLargestPowerStationsIn
chosen
Indicates that a power station is among the largest power stations located within a specified area or region.
-
B.
isMajorStationOn
Indicates that a station serves as a primary or significant stop on a particular route or line.
-
C.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
-
D.
powerplantRole
Indicates that one entity serves in a specific functional or operational role relative to a power plant.
-
E.
powerplantType
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 27, 2026, 11:49 a.m.