Triple
T1353346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École nationale d'administration |
E28931
|
entity |
| Predicate | admissionLevel |
P25096
|
FINISHED |
| Object | postgraduate |
—
|
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: postgraduate | Statement: [École nationale d'administration, admissionLevel, postgraduate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admissionLevel Context triple: [École nationale d'administration, admissionLevel, postgraduate]
-
A.
admissionsLevel
chosen
Indicates the degree or category of access, entry, or acceptance granted in an admissions context.
-
B.
admissionType
Indicates the category or manner in which an entity (such as a person or case) is formally accepted or admitted into a system, institution, or process.
-
C.
hasAdmission
Indicates that an entity possesses or is associated with a specific admission event, record, or status (such as being admitted to a place, program, or institution).
-
D.
admissionOrder
Indicates the sequence or priority in which admissions occur or are processed relative to one another.
-
E.
amenityLevel
Indicates the degree or quality of facilities, services, or conveniences provided in relation to something.
- 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_69a498571d248190a0ac9eb02d97097f |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c26e916c8190b4b324df87f4c121 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.