Triple
T6877854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwegian education system |
E158715
|
entity |
| Predicate | compulsoryEducationDurationYears |
P73893
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Norwegian education system, compulsoryEducationDurationYears, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compulsoryEducationDurationYears Context triple: [Norwegian education system, compulsoryEducationDurationYears, 10]
-
A.
compulsoryEducationToAge
Indicates that an entity is legally required to participate in formal education until reaching a specified age.
-
B.
compulsoryEducation
Indicates that an entity is legally required to participate in a specified level or period of formal education.
-
C.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
D.
primaryDurationOfStudy
Indicates the main length of time allocated or required for a particular course of study or educational program.
-
E.
typicalAgeAtCompletion
Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
- 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_69c68832af1481908ce356e133ebaebe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d8ccc29c8190904cb73c4cbb5dca |
completed | March 27, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b363dc8190a7225b540ab2bc40 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:22 p.m.