Triple
T36584675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education Act 1989 |
E902489
|
entity |
| Predicate | setsCompulsorySchoolingAge |
P164237
|
FINISHED |
| Object | 6 to 16 years |
—
|
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: 6 to 16 years | Statement: [Education Act 1989, setsCompulsorySchoolingAge, 6 to 16 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsCompulsorySchoolingAge Context triple: [Education Act 1989, setsCompulsorySchoolingAge, 6 to 16 years]
-
A.
compulsoryEducationToAge
Indicates that an entity is legally required to participate in formal education until reaching a specified age.
-
B.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
C.
ageRangeForCompulsoryAttendance
chosen
Indicates the span of ages during which an individual is legally required to attend school or another compulsory educational program.
-
D.
compulsoryEducationDurationYears
Indicates the number of years that attending school is legally mandatory.
-
E.
offersCompulsoryEducation
Indicates that an entity provides mandatory basic education that individuals are legally required to attend.
- 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_69f76e64d8908190868473959a250b94 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1baf25c8190a78dd54a400d2c50 |
completed | May 3, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:11 p.m.