Triple
T27742245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2014 South African general election |
E701884
|
entity |
| Predicate | presidentialCandidateOfWinningParty |
P59145
|
FINISHED |
| Object | Jacob Zuma |
—
|
NE NERFINISHED |
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: Jacob Zuma | Statement: [2014 South African general election, presidentialCandidateOfWinningParty, Jacob Zuma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presidentialCandidateOfWinningParty Context triple: [2014 South African general election, presidentialCandidateOfWinningParty, Jacob Zuma]
-
A.
partyPresidentialNomineeOf
chosen
Indicates that a person is the officially selected presidential nominee representing a particular political party.
-
B.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
C.
partyLeaderUnitedStates
Indicates that the subject is the leader of a political party in the United States.
-
D.
electedCandidate
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
-
E.
democraticNominee
Indicates that one entity is the officially selected Democratic Party candidate for the position or role associated with the other entity.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 4:12 p.m.