Triple
T31283692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of National Education |
E797742
|
entity |
| Predicate | oftenResponsibleFor |
P636
|
FINISHED |
| Object | higher education policy in France |
—
|
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: higher education policy in France | Statement: [Minister of National Education, oftenResponsibleFor, higher education policy in France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenResponsibleFor Context triple: [Minister of National Education, oftenResponsibleFor, higher education policy in France]
-
A.
responsibleFor
chosen
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
-
B.
safetyResponsibilityOf
Indicates that one entity holds responsibility for ensuring the safety of another entity or context.
-
C.
blamedOn
Indicates that responsibility or fault for something is assigned to a particular entity.
-
D.
notPrimaryResponsibility
Indicates that the referenced task, role, or duty is not the main or principal responsibility of the specified entity.
-
E.
oftenInvolvedWith
Indicates that one entity frequently participates in or is commonly associated with activities, events, or situations involving 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 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 29, 2026, 9:13 p.m.