Triple
T13613339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ontario electricity grid |
E325248
|
entity |
| Predicate | peakDemandSeason |
P97591
|
FINISHED |
| Object | summer |
—
|
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: summer | Statement: [Ontario electricity grid, peakDemandSeason, summer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakDemandSeason Context triple: [Ontario electricity grid, peakDemandSeason, summer]
-
A.
peakSeasonMonth
Indicates the month or months during which something (such as demand, activity, or occurrence) reaches its highest or most intense level.
-
B.
peakSeasonReason
Indicates that there is a specific cause or justification for why a given time period is considered the peak season for something.
-
C.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
D.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
E.
primarySeasonality
chosen
Indicates the main or most characteristic time period or season during which something typically occurs or is most relevant.
- 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.