Triple
T13511730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Education Act 1918 |
E322655
|
entity |
| Predicate | requiredAttendanceAtContinuationSchoolsForAges |
P37825
|
FINISHED |
| Object | 14 to 16 |
—
|
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: 14 to 16 | Statement: [Education Act 1918, requiredAttendanceAtContinuationSchoolsForAges, 14 to 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiredAttendanceAtContinuationSchoolsForAges Context triple: [Education Act 1918, requiredAttendanceAtContinuationSchoolsForAges, 14 to 16]
-
A.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
B.
compulsoryEducationToAge
chosen
Indicates that an entity is legally required to participate in formal education until reaching a specified age.
-
C.
typicalLeavingAge
Indicates the age at which entities (such as people or groups) usually or most commonly leave a given context, place, or situation.
-
D.
alsoAttendedSchool
Indicates that two or more entities attended the same school in addition to any other schools they may have attended.
-
E.
continuedWorkingUntilAge
Indicates that an individual remained employed or actively working up to a specified age.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf86a6208190be8c18f7a0158f23 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:43 p.m.