Triple
T36035403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerry College |
E1042381
|
entity |
| Predicate | hasProgrammeArea |
—
|
GENERATED |
| Object | business |
—
|
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: hasProgrammeArea Context triple: [Kerry College, hasProgrammeArea, business]
-
A.
hasProgramme
Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
-
B.
partOfProgramArea
chosen
Indicates that one entity functions as a sub-area or component within a broader program area.
-
C.
hasRegionalProgram
Indicates that an entity operates, offers, or is associated with a program that is specific to a particular geographic region.
-
D.
hasGlobalProgramme
Indicates that an entity operates, participates in, or is associated with a programme that is implemented or recognized at a global or international level.
-
E.
hasProgramCategory
Indicates that a program is classified under a specific category or type of program.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
Created at: May 3, 2026, 4:07 p.m.