Triple
T33231726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prytanée National Militaire |
E850710
|
entity |
| Predicate | convertedToMilitarySchool |
P57838
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Prytanée National Militaire, convertedToMilitarySchool, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: convertedToMilitarySchool Context triple: [Prytanée National Militaire, convertedToMilitarySchool, 19th century]
-
A.
isMilitarySchool
chosen
Indicates that an educational institution functions as a military school, operating under military principles, structure, or training programs.
-
B.
containsMilitaryAcademy
Indicates that one entity includes or hosts a military academy within its boundaries or domain.
-
C.
hasMilitarySpeciality
Indicates that an entity possesses a specific military role, skill set, or area of professional expertise within the armed forces.
-
D.
militaryBranchSupervised
Indicates that one military branch has authority over, or is responsible for overseeing and directing, another military branch.
-
E.
hadMilitaryPost
Indicates that an entity held an official position or assignment within a military organization.
- 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: May 1, 2026, 1:30 a.m.