Triple
T19343111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean Secondary Education Certificate |
E483806
|
entity |
| Predicate | subjectCategories |
P135493
|
FINISHED |
| Object | sciences |
—
|
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: sciences | Statement: [Caribbean Secondary Education Certificate, subjectCategories, sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectCategories Context triple: [Caribbean Secondary Education Certificate, subjectCategories, sciences]
-
A.
coreCategory
Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
-
B.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
C.
subjectGroup
Indicates that an entity functions as a group or collection that the subject belongs to or is categorized under.
-
D.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
E.
commonsCategory
Indicates that an entity is associated with a specific media or topic category on Wikimedia Commons.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e4df51ac6c819091ce72b07790ffa6 |
completed | April 19, 2026, 1:57 p.m. |
Created at: April 10, 2026, 1:33 p.m.