Triple
T748495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division II Wrestling |
E15394
|
entity |
| Predicate | typicalInstitutionSize |
P3395
|
FINISHED |
| Object | mid-sized universities |
—
|
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: mid-sized universities | Statement: [NCAA Division II Wrestling, typicalInstitutionSize, mid-sized universities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalInstitutionSize Context triple: [NCAA Division II Wrestling, typicalInstitutionSize, mid-sized universities]
-
A.
campusSize
Indicates the physical extent or scale of a campus, typically measured in area or capacity.
-
B.
servesStudentPopulation
Indicates that an entity provides services, resources, or support to a defined group of students.
-
C.
studentBodySize
chosen
Indicates the total number of students that make up the student body of an institution or group.
-
D.
hasTypicalFirstCohortSize
Indicates the usual or standard number of individuals in the first cohort associated with an entity.
-
E.
typeOfInstitution
Indicates the specific kind or category of institution that an entity belongs to or is classified as.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62f31888190b80cb0a7220f8d80 |
completed | March 1, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_69a4a5004f708190a984ee221716e19c |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.