Triple
T7634783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Lakes High School |
E172847
|
entity |
| Predicate | usesSchoolDayStructure |
P36843
|
FINISHED |
| Object | full-time, weekday schedule |
—
|
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: full-time, weekday schedule | Statement: [South Lakes High School, usesSchoolDayStructure, full-time, weekday schedule]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSchoolDayStructure Context triple: [South Lakes High School, usesSchoolDayStructure, full-time, weekday schedule]
-
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.
hasSchoolHours
Indicates that an entity operates or is scheduled to function during specific school-related hours or time periods.
-
C.
hasDayStudents
Indicates that an educational institution has students who attend during the day but do not reside on campus.
-
D.
schoolPattern
chosen
Indicates a recurring or characteristic way in which schooling or educational activities are organized, structured, or carried out.
-
E.
publicSchool
Indicates that an educational institution is operated and funded by a government or public authority rather than by private entities.
- 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_69c69952849881908fdcea7a93bfc307 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faa83fcc8190a3f0bb20cbe1b2d6 |
completed | March 27, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:57 p.m.