Triple
T28291432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African Schools Act |
E713435
|
entity |
| Predicate | ageRangeForCompulsoryAttendance |
P164237
|
FINISHED |
| Object | 7 to 15 |
—
|
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: 7 to 15 | Statement: [South African Schools Act, ageRangeForCompulsoryAttendance, 7 to 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageRangeForCompulsoryAttendance Context triple: [South African Schools Act, ageRangeForCompulsoryAttendance, 7 to 15]
-
A.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
B.
compulsoryEducationToAge
Indicates that an entity is legally required to participate in formal education until reaching a specified age.
-
C.
acceptsPupilsFromAge
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
-
D.
typicalLeavingAge
Indicates the age at which entities (such as people or groups) usually or most commonly leave a given context, place, or situation.
-
E.
compulsoryEducationDurationYears
Indicates the number of years that attending school is legally mandatory.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f64484910c81908f66d35cfdaa3cc4 |
completed | May 2, 2026, 6:37 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 27, 2026, 11:29 p.m.