Triple
T28010880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polbeth Primary School |
E707413
|
entity |
| Predicate | schoolDayIncludes |
P168613
|
FINISHED |
| Object | classroom teaching |
—
|
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: classroom teaching | Statement: [Polbeth Primary School, schoolDayIncludes, classroom teaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: schoolDayIncludes Context triple: [Polbeth Primary School, schoolDayIncludes, classroom teaching]
-
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.
daySchool
Indicates that an entity attends or is enrolled in a school that operates primarily during the daytime.
-
C.
hasDayStudents
Indicates that an educational institution has students who attend during the day but do not reside on campus.
-
D.
isSchoolFor
Indicates that one entity functions as an educational institution intended to serve, teach, or train the other entity.
-
E.
schoolRoll
Indicates the official list or record of students enrolled in a particular school or class.
- 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_69ef96ba350c81908230d0b501b974c4 |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 27, 2026, 8:03 p.m.