Triple
T14844198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Page Corps (Imperial Russia) |
E349043
|
entity |
| Predicate | socialClassOfCadets |
P59706
|
FINISHED |
| Object | Russian aristocracy |
—
|
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: Russian aristocracy | Statement: [Page Corps (Imperial Russia), socialClassOfCadets, Russian aristocracy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialClassOfCadets Context triple: [Page Corps (Imperial Russia), socialClassOfCadets, Russian aristocracy]
-
A.
hasCorpsOfCadets
Indicates that an institution maintains an organized corps of cadets as part of its structure or programs.
-
B.
typeOfCadetForce
Indicates the specific category or kind of cadet force to which an entity belongs.
-
C.
classOfRecruit
chosen
Indicates that one entity is the class, category, or type to which the recruit entity belongs.
-
D.
isMilitarySchool
Indicates that an educational institution functions as a military school, operating under military principles, structure, or training programs.
-
E.
containsMilitaryAcademy
Indicates that one entity includes or hosts a military academy within its boundaries or domain.
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded291103c8190a64cfe700bfee197 |
completed | April 14, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69de8c13418c819088ff9905ace1416a |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:53 a.m.