Triple
T37297234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suvorov Military Schools |
E925837
|
entity |
| Predicate | typicalGraduateDestination |
P119565
|
FINISHED |
| Object | military academies |
—
|
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: military academies | Statement: [Suvorov Military Schools, typicalGraduateDestination, military academies]
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 (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_69f76eb0f86c819098dee07393e69ec3 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.