Triple
T25171818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education Act (Ontario) |
E630340
|
entity |
| Predicate | setsMaximumAge |
P9530
|
FINISHED |
| Object | age for compulsory education in Ontario |
—
|
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: age for compulsory education in Ontario | Statement: [Education Act (Ontario), setsMaximumAge, age for compulsory education in Ontario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsMaximumAge Context triple: [Education Act (Ontario), setsMaximumAge, age for compulsory education in Ontario]
-
A.
hasMaximumAgeInGa
Indicates that an entity has an upper age limit, measured in billions of years (giga-annum, Ga).
-
B.
maximumAgeInYears
Indicates the highest allowable or observed age, expressed in years, associated with an entity or condition.
-
C.
setsMaximum
chosen
Indicates that one entity establishes an upper limit or maximum allowable value for another entity or quantity.
-
D.
typicalExpirationPeriod
Indicates the usual length of time after which something is expected to expire or become invalid.
-
E.
maximumAgeMa
Indicates that there is a specified maximum age limit applicable to an entity or relationship.
- 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_69e75a87c9b88190ab60731902a99750 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46d47886c81908507ce1d55e5643c |
completed | May 1, 2026, 9:07 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 21, 2026, 12:20 p.m.