Triple
T20753168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Académie des Inscriptions et Belles-Lettres |
E510783
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | French academy |
C11071
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: French academy Context triple: [Académie des Inscriptions et Belles-Lettres, instanceOf, French academy]
-
A.
French learned society
chosen
A French learned society is an organized association in France dedicated to advancing, preserving, and disseminating specialized knowledge in academic, scientific, or cultural fields.
-
B.
French academic
A French academic is a scholar or researcher based in France, typically employed by a university or grande école, who engages in teaching, publishing, and contributing to intellectual and public debates within their discipline.
-
C.
École normale supérieure
École normale supérieure is a prestigious French grande école dedicated to advanced education and research in the humanities and sciences, known for training many of the nation’s leading intellectuals and public figures.
-
D.
college of the University of Paris
A college of the University of Paris was a semi-autonomous residential and educational institution within the medieval and early modern university, providing lodging, instruction, and community for scholars under a specific governance and endowment.
-
E.
French military school
A French military school is an educational institution in France that combines academic instruction with military training to prepare students for service as officers or specialized personnel in the armed forces.
- F. None of above.
Provenance (1 batch)
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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
Created at: April 16, 2026, 12:34 p.m.