Triple
T27712125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1962 Canadian federal election |
E698717
|
entity |
| Predicate | leader1VoteShare |
P9216
|
FINISHED |
| Object | 37.2% |
—
|
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: 37.2% | Statement: [1962 Canadian federal election, leader1VoteShare, 37.2%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leader1VoteShare Context triple: [1962 Canadian federal election, leader1VoteShare, 37.2%]
-
A.
popularVoteShare
chosen
Indicates the proportion of all votes cast in an election that were received by a particular candidate, party, or option.
-
B.
psoeVoteShare
Indicates the proportion of total votes received by the PSOE party in an election or voting context.
-
C.
AlliancePopularVoteShare
Indicates the proportion of total votes received by a political alliance in an election relative to all valid votes cast.
-
D.
popularVoteShareLiberals
Indicates the proportion of the total popular vote that was received by the Liberal party or liberal candidates in an election.
-
E.
runnerUpVoteSharePercentage
Indicates the percentage of total votes received by the candidate or option that finished in second place.
- 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_69ef590f655c81909f93893b3b3219b2 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 3:02 p.m.