Triple
T37297234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suvorov Military Schools |
E925837
|
entity |
| Predicate | typicalGraduateDestination |
—
|
GENERATED |
| Object | military academies |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalGraduateDestination Context triple: [Suvorov Military Schools, typicalGraduateDestination, military academies]
-
A.
employerOfGraduates
Indicates that an entity serves as the employing organization for individuals who have graduated from a particular institution or program.
-
B.
graduatesOftenBecome
Indicates that individuals who complete a particular educational program frequently go on to assume a specified role, status, or outcome.
-
C.
producesGraduatesIn
Indicates that an educational institution generates graduates specializing in a particular field or discipline.
-
D.
serviceBranchOfGraduates
Indicates the military or service branch in which the graduates served or are affiliated.
-
E.
preparesGraduatesFor
chosen
Indicates that one entity equips or trains graduates with the knowledge, skills, or qualifications needed to succeed in another specified context, role, or activity.
- 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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:16 p.m.