Triple
T24906700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1993 Canadian federal election |
E623727
|
entity |
| Predicate | fifthPlacePopularVoteShare |
P110899
|
FINISHED |
| Object | 16.0% |
—
|
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: 16.0% | Statement: [1993 Canadian federal election, fifthPlacePopularVoteShare, 16.0%]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifthPlacePopularVoteShare Context triple: [1993 Canadian federal election, fifthPlacePopularVoteShare, 16.0%]
-
A.
fifthLargestPartyVoteSharePercentage
chosen
Indicates the percentage of total votes received by the political party that ranked fifth in vote share.
-
B.
fifthWinner
Indicates that an entity is the one that achieved fifth place (the fifth winner) in a ranked competition or event.
-
C.
fifthWinnerCountry
Indicates the country associated with the entity that finished in fifth place in a competition or ranking.
-
D.
fifthLargestParty
Indicates that the subject is the political party ranked as the fifth largest according to a specified measure such as seats, votes, or membership.
-
E.
thirdPlacePopularVote
Indicates that an entity finished in third place in terms of the number of votes received in a popular vote contest or election.
- 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_69e2fac797cc8190b30d77f4121099ac |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 5:27 a.m.