Triple
T35062745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauharnois |
E1011636
|
entity |
| Predicate | electricityProducedFor |
P118436
|
FINISHED |
| Object | Quebec power grid |
—
|
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: Quebec power grid | Statement: [Beauharnois, electricityProducedFor, Quebec power grid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electricityProducedFor Context triple: [Beauharnois, electricityProducedFor, Quebec power grid]
-
A.
electricPowerOutput
Indicates the amount of electrical power produced or delivered by an entity.
-
B.
powerplantOutput
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
-
C.
isMajorSourceOfElectricityFor
chosen
Indicates that one entity provides the primary or dominant share of electrical power used by another entity.
-
D.
averageAnnualGeneration
Indicates the typical amount of something produced or generated per year, averaged over a specified multi-year period.
-
E.
providesElectricityShare
Indicates that one entity supplies a specified portion or share of electricity to another 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_69f76dd09c308190a523454853ce842b |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff370698ec81909bb1596d7d4112ba |
completed | May 9, 2026, 1:30 p.m. |
| PD | Predicate disambiguation | batch_69ff3699b6288190b564839cb05f5cf6 |
completed | May 9, 2026, 1:28 p.m. |
Created at: May 3, 2026, 4:01 p.m.