Triple
T35371152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Masonic School for Girls |
E1021771
|
entity |
| Predicate | admitsPupilsBy |
P43396
|
FINISHED |
| Object | selective admission |
—
|
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: selective admission | Statement: [Royal Masonic School for Girls, admitsPupilsBy, selective admission]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: admitsPupilsBy Context triple: [Royal Masonic School for Girls, admitsPupilsBy, selective admission]
-
A.
admitsStudentsFrom
Indicates that an educational institution accepts or enrolls students who come from a specified source, such as a school, region, or program.
-
B.
acceptsPupilsFromAge
Indicates that an entity (such as a school or program) enrolls or admits pupils starting from a specified minimum age.
-
C.
admissionsSystem
Indicates a relationship where an entity functions as or is associated with a system that manages or processes admissions decisions or applications.
-
D.
admittedStudents
Indicates that certain students have been officially accepted or granted admission to an institution, program, or course.
-
E.
admissionsBasedOn
chosen
Indicates that acceptance or entry decisions are determined according to specified criteria, factors, or conditions.
- 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_69f76df000488190ab7c97f565677055 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:03 p.m.