Triple
T1107362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Canadian federal election |
E25515
|
entity |
| Predicate | voterTurnoutChangeFromPreviousElection |
P1235
|
FINISHED |
| Object | -2.9 |
—
|
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: -2.9 | Statement: [2019 Canadian federal election, voterTurnoutChangeFromPreviousElection, -2.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voterTurnoutChangeFromPreviousElection Context triple: [2019 Canadian federal election, voterTurnoutChangeFromPreviousElection, -2.9]
-
A.
voterTurnoutChange
chosen
Indicates the amount or direction of change in voter turnout between two elections or time periods.
-
B.
voterTurnoutPercentage
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
-
C.
voterTurnoutDescription
Indicates a textual explanation or characterization of the level, nature, or patterns of voter turnout in an election or voting event.
-
D.
popularVoteMargin
Indicates the difference in the number or percentage of popular votes received by two candidates or options in an election.
-
E.
electoralSignificance
Indicates the importance or impact that something has on an election’s outcome, dynamics, or results.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b749e2a881909ef28745a7d2d917 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.