Triple
T15823485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mudgee High School |
E383671
|
entity |
| Predicate | hasPostCompulsoryYears |
P44085
|
FINISHED |
| Object | upper 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: upper secondary | Statement: [Mudgee High School, hasPostCompulsoryYears, upper secondary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostCompulsoryYears Context triple: [Mudgee High School, hasPostCompulsoryYears, upper secondary]
-
A.
compulsoryEducationDurationYears
Indicates the number of years that attending school is legally mandatory.
-
B.
offersPostgraduateYear
Indicates that an institution or program provides a specific postgraduate year position or training opportunity to an individual.
-
C.
hasSchoolYears
chosen
Indicates a relationship where an educational institution is associated with specific academic years or grade levels it offers or covers.
-
D.
hasHigherEducationAccess
Indicates that one entity has access to higher education opportunities or institutions relative to another entity or context.
-
E.
upperLevelCompletionYear
Indicates the year in which an entity completed an upper-level stage of education, training, or qualification.
- 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.