Triple
T6774022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlottetown Accord |
E155109
|
entity |
| Predicate | percentageNoVoteCanada |
P66702
|
FINISHED |
| Object | approximately 55 percent |
—
|
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: approximately 55 percent | Statement: [Charlottetown Accord, percentageNoVoteCanada, approximately 55 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageNoVoteCanada Context triple: [Charlottetown Accord, percentageNoVoteCanada, approximately 55 percent]
-
A.
blocQuebecoisPopularVotePercentage
Indicates the percentage of all valid votes that were cast for the Bloc Québécois in a given election.
-
B.
noVotesPercentage
chosen
Indicates the proportion of total votes that were cast as "no" in a given decision or election.
-
C.
voterTurnoutPercentage
Indicates the proportion of eligible or registered voters who actually cast a ballot in a given election, expressed as a percentage.
-
D.
oppositionPercentage
Indicates the proportion of entities or participants that are in opposition to a given proposal, action, or subject relative to the whole.
-
E.
nonVoting
Indicates that an entity participates in a group or organization without possessing the right to vote in its decisions.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24c1b088190b99e9264b9b03dd8 |
completed | March 27, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:13 p.m.