Triple
T12577665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Business at Virginia Union University |
E300250
|
entity |
| Predicate | possibleProgramType |
P35060
|
FINISHED |
| Object | graduate business programs |
—
|
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: graduate business programs | Statement: [School of Business at Virginia Union University, possibleProgramType, graduate business programs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleProgramType Context triple: [School of Business at Virginia Union University, possibleProgramType, graduate business programs]
-
A.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
B.
supportsProgramType
chosen
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
C.
intendedProgram
Indicates the academic or training program that an entity plans or expects to pursue, rather than one they are currently enrolled in or have completed.
-
D.
eligibleProjectType
Indicates that a project belongs to a category or type that qualifies it for a specific program, process, or benefit.
-
E.
developedForProgram
Indicates that something was created, designed, or produced specifically to be used in or support a particular program.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9550d84908190aea0f50055f6d92e |
completed | April 10, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69d95414692881909c52a1de7d224b44 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 9, 2026, 4:53 p.m.