Triple
T25716725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeunes avec Macron |
E644882
|
entity |
| Predicate | supportsPoliticalProject |
P4806
|
FINISHED |
| Object | Emmanuel Macron's centrist political project |
—
|
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: Emmanuel Macron's centrist political project | Statement: [Jeunes avec Macron, supportsPoliticalProject, Emmanuel Macron's centrist political project]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsPoliticalProject Context triple: [Jeunes avec Macron, supportsPoliticalProject, Emmanuel Macron's centrist political project]
-
A.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
-
B.
politicalSupporter
chosen
Indicates that one entity supports, endorses, or aligns with the political views, actions, or position of another entity.
-
C.
supportAgainst
Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
-
D.
basedOnPoliticalProjectOf
Indicates that something is founded upon, derived from, or guided by a particular political project, agenda, or program.
-
E.
supportedPoliticalStatus
Indicates that one entity endorsed, favored, or advocated for a particular political status or position of another 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_69e77e8476fc8190bd5e9d05b89fad0a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 21, 2026, 9:43 p.m.