Triple
T33945226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio State University Board of Trustees |
E870272
|
entity |
| Predicate | campusScope |
P177954
|
FINISHED |
| Object | all Ohio State University campuses |
—
|
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: all Ohio State University campuses | Statement: [Ohio State University Board of Trustees, campusScope, all Ohio State University campuses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campusScope Context triple: [Ohio State University Board of Trustees, campusScope, all Ohio State University campuses]
-
A.
campusFocus
Indicates that something (such as a program, initiative, or activity) is specifically oriented toward or centered on a particular campus.
-
B.
campus
Indicates that an entity is located on, associated with, or taking place within a particular campus.
-
C.
campusSystem
Indicates a relationship where an educational institution is part of, managed by, or operates within a particular campus system or network.
-
D.
campusCategory
Indicates the classification or type assigned to a campus within a broader organizational or geographic system.
-
E.
campusLife
Indicates the overall experience, activities, and social environment associated with being part of a particular campus or educational institution.
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f7064d37388190993b2a7305a02b9f |
completed | May 3, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:49 a.m.