Triple
T15823484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudgee High School |
E383671
|
entity |
| Predicate | hasCompulsoryYears |
P44085
|
FINISHED |
| Object | lower secondary |
—
|
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: lower secondary | Statement: [Mudgee High School, hasCompulsoryYears, lower secondary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCompulsoryYears Context triple: [Mudgee High School, hasCompulsoryYears, lower secondary]
-
A.
hasSchoolYears
chosen
Indicates a relationship where an educational institution is associated with specific academic years or grade levels it offers or covers.
-
B.
compulsoryEducationDurationYears
Indicates the number of years that attending school is legally mandatory.
-
C.
compulsoryEducationToAge
Indicates that an entity is legally required to participate in formal education until reaching a specified age.
-
D.
compulsoryEducationFromAge
Indicates that there is a legal requirement for individuals to begin formal education starting at a specified minimum age.
-
E.
hasPermanentSeniority
Indicates that one entity holds a fixed, enduring precedence or higher rank over another that does not change over time.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a96b848190845cf547034a24f2 |
completed | April 16, 2026, 11:14 a.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.