Triple
T24730339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 French presidential election |
E618264
|
entity |
| Predicate | resultPoliticalImpact |
P11286
|
FINISHED |
| Object | strengthening of the French right |
—
|
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: strengthening of the French right | Statement: [2007 French presidential election, resultPoliticalImpact, strengthening of the French right]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultPoliticalImpact Context triple: [2007 French presidential election, resultPoliticalImpact, strengthening of the French right]
-
A.
politicalRepercussion
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
-
B.
effectOnPolity
Indicates the impact or consequence that one entity, event, or action has on a political body or governing organization.
-
C.
legislativeImpact
Indicates the effect that a law or legislative action has on a policy, entity, or outcome.
-
D.
nationalImpact
Indicates that something has a significant effect or influence at the level of an entire nation.
-
E.
politicalOutcome
chosen
Indicates the result or consequence of a political process, decision, event, or interaction.
- 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_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 4:02 a.m.