Triple
T5688583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westminster University |
E125372
|
entity |
| Predicate | classSize |
P57431
|
FINISHED |
| Object | small class sizes |
—
|
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: small class sizes | Statement: [Westminster University, classSize, small class sizes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classSize Context triple: [Westminster University, classSize, small class sizes]
-
A.
typicalClassSize
chosen
Indicates the usual or average number of students (or participants) that are present in a single class or course section.
-
B.
numberInClass
Indicates that a specified entity is a member of, or belongs to, a particular class or category.
-
C.
classSizeEmphasis
Indicates an educational setting where the size of classes is a notable or prioritized factor in how instruction or learning is organized or evaluated.
-
D.
enrollmentSize
Indicates the number of individuals enrolled or registered in a particular group, program, or institution.
-
E.
studentBodySize
Indicates the total number of students that make up the student body of an institution or group.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c0e0408190ab6c3cd3f907e80f |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.