Triple
T32896742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberian general election, 2017 |
E841493
|
entity |
| Predicate | numberOfPresidentialCandidatesFirstRound |
—
|
GENERATED |
| Object | 20 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPresidentialCandidatesFirstRound Context triple: [Liberian general election, 2017, numberOfPresidentialCandidatesFirstRound, 20]
-
A.
numberOfPresidentialRounds
Indicates the total count of distinct terms or periods a person has served as president.
-
B.
numberOfPresidentialCandidatesApproximate
Indicates an approximate count of individuals who are presidential candidates in a given context.
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C.
firstRoundLeadingCandidate
Indicates that the subject is the candidate who is leading in vote count after the first round of an election or selection process.
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D.
numberOfPresidentialCampaigns
Indicates the total count of times an individual has run as a candidate in a presidential election.
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E.
firstBallotCandidate
Indicates that the entity was a candidate in the first ballot of an election or selection process.
- F. None of above. chosen
Provenance (1 batch)
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_69f34945ae408190b72d8118c83beb77 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:18 a.m.