Triple
T7485731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hydro-Québec |
E176876
|
entity |
| Predicate | energySourceShare |
P13547
|
FINISHED |
| Object | majority hydroelectric generation |
—
|
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: majority hydroelectric generation | Statement: [Hydro-Québec, energySourceShare, majority hydroelectric generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energySourceShare Context triple: [Hydro-Québec, energySourceShare, majority hydroelectric generation]
-
A.
renewableEnergyShare
chosen
Indicates the proportion of total energy consumption or production that comes from renewable energy sources.
-
B.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
C.
energyCooperation
Indicates a collaborative relationship in which entities work together to share, develop, or manage energy resources, technologies, or policies.
-
D.
energyAspect
Indicates a relationship where one entity represents an aspect, component, or characteristic related to the energy properties or behavior of another entity.
-
E.
energyContribution
Indicates the amount or role of energy that one entity provides or contributes to another entity, process, or system.
- 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_69c69f24ac508190bb98fe927c0bd065 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f556955c8190bf014a065e04c5d8 |
completed | March 27, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c6f03eeaa88190a5215772ed05ee9f |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:42 p.m.