Triple
T13589241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | concours d’entrée de l’École Polytechnique |
E324647
|
entity |
| Predicate | niveauD’étudesRequis |
P15052
|
FINISHED |
| Object | bac+2 |
—
|
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: bac+2 | Statement: [concours d’entrée de l’École Polytechnique, niveauD’étudesRequis, bac+2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: niveauD’étudesRequis Context triple: [concours d’entrée de l’École Polytechnique, niveauD’étudesRequis, bac+2]
-
A.
requiresEducationIn
Indicates that one entity necessitates that another entity possess education or formal training in a specified field or discipline.
-
B.
requiresEducation
chosen
Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
-
C.
offersLevelOfStudy
Indicates that an institution or program provides a particular level or type of study (e.g., undergraduate, graduate, doctoral) as an available option.
-
D.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
-
E.
supportsLevelOfStudy
Indicates that one entity provides or is compatible with a specified level of academic or educational study for 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.