Triple
T18217913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheaton College (Massachusetts) |
E436212
|
entity |
| Predicate | studentBodySizeApproximate |
P3395
|
FINISHED |
| Object | around 1,700 undergraduates |
—
|
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: around 1,700 undergraduates | Statement: [Wheaton College (Massachusetts), studentBodySizeApproximate, around 1,700 undergraduates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: studentBodySizeApproximate Context triple: [Wheaton College (Massachusetts), studentBodySizeApproximate, around 1,700 undergraduates]
-
A.
studentBodySize
chosen
Indicates the total number of students that make up the student body of an institution or group.
-
B.
typicalClassSize
Indicates the usual or average number of students (or participants) that are present in a single class or course section.
-
C.
hasStudentBodyType
Indicates that an educational institution possesses a student body characterized by a particular type or classification.
-
D.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
E.
rosterSizeApprox
Indicates that the size of a group or roster is approximately equal to a specified number or range, allowing for minor variation.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e4782db4819093baee57f34be490 |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332155d88190b106d0dceb4554af |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:32 a.m.