Triple
T24730333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 French presidential election |
E618264
|
entity |
| Predicate | greenCandidate |
P52669
|
FINISHED |
| Object | Dominique Voynet |
—
|
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: Dominique Voynet | Statement: [2007 French presidential election, greenCandidate, Dominique Voynet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: greenCandidate Context triple: [2007 French presidential election, greenCandidate, Dominique Voynet]
-
A.
greenPartyFirstMP
Indicates that the person is the first Member of Parliament elected from the Green Party in a given political context or jurisdiction.
-
B.
generalElectionCandidate
chosen
Indicates that a person is a candidate running for office in a general election.
-
C.
democraticNominationContender
Indicates that an entity is a candidate actively competing for the Democratic Party’s nomination for a particular political office.
-
D.
supportedCandidateInElection
Indicates that one entity endorsed or backed another entity as a candidate in a specific election.
-
E.
electedCandidate
Indicates that a particular person has been chosen as the winner in an election for a given position or office.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:02 a.m.