Triple
T5083452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balwearie High School |
E114577
|
entity |
| Predicate | hasSchoolDayStructure |
P36843
|
FINISHED |
| Object | timetabled periods |
—
|
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: timetabled periods | Statement: [Balwearie High School, hasSchoolDayStructure, timetabled periods]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolDayStructure Context triple: [Balwearie High School, hasSchoolDayStructure, timetabled periods]
-
A.
schoolDayType
Indicates the classification of a given day according to its role in the school calendar (e.g., regular school day, holiday, exam day, etc.).
-
B.
hasDayStudents
Indicates that an educational institution has students who attend during the day but do not reside on campus.
-
C.
hasSchoolHours
Indicates that an entity operates or is scheduled to function during specific school-related hours or time periods.
-
D.
schoolPattern
chosen
Indicates a recurring or characteristic way in which schooling or educational activities are organized, structured, or carried out.
-
E.
hasSchoolsAccess
Indicates that one entity has permission or the ability to access schools or school-related resources associated with another entity.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7517af308190bab5507a9344bf68 |
completed | March 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69bd7159adc881909effd4382c395c66 |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:39 p.m.