Triple
T19343121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean Secondary Education Certificate |
E483806
|
entity |
| Predicate | examinationFormat |
P52475
|
FINISHED |
| Object | written papers |
—
|
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: written papers | Statement: [Caribbean Secondary Education Certificate, examinationFormat, written papers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examinationFormat Context triple: [Caribbean Secondary Education Certificate, examinationFormat, written papers]
-
A.
examType
chosen
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
B.
examPatternIncludes
Indicates that a particular exam pattern contains or encompasses a specified component, section, or element as part of its structure.
-
C.
examDeliveryMode
Indicates the method or format through which an exam is administered or delivered to participants.
-
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.
courseInspectionFormat
Indicates the specific method or medium by which a course is examined, reviewed, or inspected.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61858d6788190a5d63932c1dc25e6 |
completed | April 20, 2026, 12:13 p.m. |
| PD | Predicate disambiguation | batch_69e4dd12303c8190a2027c062b2dff40 |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 1:33 p.m.