Triple
T23642163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 Conservative Party of Canada leadership election |
E583928
|
entity |
| Predicate | roundsOfCounting |
P11575
|
FINISHED |
| Object | 13 |
—
|
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: 13 | Statement: [2017 Conservative Party of Canada leadership election, roundsOfCounting, 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roundsOfCounting Context triple: [2017 Conservative Party of Canada leadership election, roundsOfCounting, 13]
-
A.
roundCount
chosen
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
-
B.
numberOfBallots
Indicates the total count of ballots associated with a particular election, contest, or voting event.
-
C.
ballotsCountedBy
Indicates that the ballots in an election or vote are counted or tallied by a specified person, group, or entity.
-
D.
numberOfPresidentialRounds
Indicates the total count of distinct terms or periods a person has served as president.
-
E.
countNumberOnWhichWinnerElected
Indicates the specific count or tally number at which a winner is determined or elected in a process.
- 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_69e248fefafc81909656921192f30e80 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b2821cb881909b1ab77aa77208e0 |
completed | April 29, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:48 p.m.