Triple
T29379928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uganda National Examinations Board |
E745106
|
entity |
| Predicate | examTypeAdministered |
P132313
|
FINISHED |
| Object | Primary Leaving Examination |
—
|
NE NERFINISHED |
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: Primary Leaving Examination | Statement: [Uganda National Examinations Board, examTypeAdministered, Primary Leaving Examination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examTypeAdministered Context triple: [Uganda National Examinations Board, examTypeAdministered, Primary Leaving Examination]
-
A.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
administeredTest
chosen
Indicates that one entity gave or conducted a test or examination to another entity.
-
C.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
D.
examSystem
Indicates a relationship where an entity functions as or belongs to an examination system, such as a framework or platform for creating, administering, or managing exams.
-
E.
examCategory
Indicates the classification or type of an exam within a defined set of exam categories.
- 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_69f0a79cfd5481909b4dde750cb8d2c6 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f669cd27708190b55d308baad8a1bf |
completed | May 2, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69f660f4f7a88190b93c60d76b86c912 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 2:34 p.m.