Triple
T2109276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Voroshilov General Staff Academy |
E42466
|
entity |
| Predicate | graduatesTypicallyBecame |
P22559
|
FINISHED |
| Object | army commanders |
—
|
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: army commanders | Statement: [Voroshilov General Staff Academy, graduatesTypicallyBecame, army commanders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graduatesTypicallyBecame Context triple: [Voroshilov General Staff Academy, graduatesTypicallyBecame, army commanders]
-
A.
employerOfGraduates
Indicates that an entity serves as the employing organization for individuals who have graduated from a particular institution or program.
-
B.
postgraduatesApprox
Indicates that one entity has an approximate or estimated number of postgraduate students or postgraduate-related quantity equal to the other entity.
-
C.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
D.
typicalInstructorPosition
Indicates the usual or standard job position or role that an instructor typically holds.
-
E.
trainedAs
chosen
Indicates that one entity has received education or instruction to perform the role, profession, or function represented by another entity.
- 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_69a8871040f08190aac2e2d0ab6b47ad |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abbae1bacc8190beffc9d0470e9190 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7ba08948190a3c236bb53ee4257 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.