Triple
T13613347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario electricity grid |
E325248
|
entity |
| Predicate | hasTariffStructure |
P106531
|
FINISHED |
| Object | time-of-use pricing for many customers |
—
|
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: time-of-use pricing for many customers | Statement: [Ontario electricity grid, hasTariffStructure, time-of-use pricing for many customers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTariffStructure Context triple: [Ontario electricity grid, hasTariffStructure, time-of-use pricing for many customers]
-
A.
tariffStructure
chosen
Indicates the specific schedule, rates, and rules that define how tariffs or fees are applied within a pricing or taxation system.
-
B.
usesTariffSystem
Indicates that one entity applies or operates under a tariff-based system for pricing, taxation, or fees in its interactions or transactions.
-
C.
hasTariffZoneSystem
Indicates that an entity uses or is governed by a defined tariff zone system for determining prices, fees, or charges.
-
D.
typeOfTariffPreference
Indicates the specific category or kind of tariff preference applied within a trade or customs context.
-
E.
fareStructure
Indicates the pricing scheme or set of rules that determine how fares are calculated and applied for a given service or trip.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.