Triple
T27712133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1962 Canadian federal election |
E698717
|
entity |
| Predicate | leader2VoteShare |
P166450
|
FINISHED |
| Object | 36.0% |
—
|
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: 36.0% | Statement: [1962 Canadian federal election, leader2VoteShare, 36.0%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leader2VoteShare Context triple: [1962 Canadian federal election, leader2VoteShare, 36.0%]
-
A.
AlliancePopularVoteShare
Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
-
B.
popularVoteShare
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
C.
ACDPVoteSharePercentage
Indicates the percentage of total votes that were cast for the ACDP in a given election or voting context.
-
D.
voteShareMainOpponent
Indicates the proportion of total votes received by the primary opposing candidate or party in an election.
-
E.
EFFVoteSharePercentage
Indicates the percentage of total votes that were cast in favor of the EFF in a given election or voting context.
- F. None of above. chosen
Provenance (4 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 27, 2026, 3:02 p.m.