Triple
T18671979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wardle Academy |
E456498
|
entity |
| Predicate | hasCompulsoryEducationYears |
P44085
|
FINISHED |
| Object | Key Stage 3 and 4 |
—
|
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: Key Stage 3 and 4 | Statement: [Wardle Academy, hasCompulsoryEducationYears, Key Stage 3 and 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompulsoryEducationYears Context triple: [Wardle Academy, hasCompulsoryEducationYears, Key Stage 3 and 4]
-
A.
compulsoryEducationDurationYears
Indicates the number of years that attending school is legally mandatory.
-
B.
compulsoryEducationToAge
Indicates that an entity is legally required to participate in formal education until reaching a specified age.
-
C.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
D.
hasSchoolYears
chosen
Indicates a relationship where an educational institution is associated with specific academic years or grade levels it offers or covers.
-
E.
lowerSecondaryEducationDurationYears
Indicates the number of years that lower secondary education typically lasts in a given education system.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b21d2481908e1b8b583bfabb72 |
completed | April 19, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.