Triple
T13589208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French preparatory classes |
E324646
|
entity |
| Predicate | leadsToQualification |
P106510
|
FINISHED |
| Object | eligibility for grandes écoles diplomas |
—
|
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: eligibility for grandes écoles diplomas | Statement: [French preparatory classes, leadsToQualification, eligibility for grandes écoles diplomas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadsToQualification Context triple: [French preparatory classes, leadsToQualification, eligibility for grandes écoles diplomas]
-
A.
leadsInto
Indicates that one entity serves as an entry or transition point that directly connects or opens into another entity.
-
B.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
C.
helpsLead
Indicates that one entity assists or contributes to another entity’s act of leading or guiding.
-
D.
qualifyingFor
chosen
Indicates that one entity meets the necessary conditions or criteria to be eligible for another entity, status, or action.
-
E.
providedQualificationFor
Indicates that one entity supplied or granted a qualification, credential, or certification that another entity possesses or uses.
- 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.