Triple
T33945215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohio State University regional campuses |
E870271
|
entity |
| Predicate | sharesStudentInformationSystemWith |
P12838
|
FINISHED |
| Object | The Ohio State University |
—
|
NE NERFINISHED |
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: The Ohio State University | Statement: [Ohio State University regional campuses, sharesStudentInformationSystemWith, The Ohio State University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesStudentInformationSystemWith Context triple: [Ohio State University regional campuses, sharesStudentInformationSystemWith, The Ohio State University]
-
A.
sharesSchoolSystemServicesWith
chosen
Indicates that two entities use or are supported by the same school system services or infrastructure.
-
B.
sharesStudentActivitiesWith
Indicates that two entities participate in or are associated with the same student activities or extracurricular programs.
-
C.
sharesInstitution
Indicates that two entities are affiliated with or belong to the same institution.
-
D.
sharesCurriculumWith
Indicates that two educational programs or courses use the same or substantially overlapping curriculum content.
-
E.
sharesSAUWith
Indicates that two entities are associated with, or make use of, the same Service Access Unit (SAU).
- 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_69f3499b0dd48190b07b4b60babcee02 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ffcf46fd688190907fd1ceb499a8d1 |
completed | May 10, 2026, 12:20 a.m. |
| PD | Predicate disambiguation | batch_69ffccde2a8c81908e055e74077dbd19 |
completed | May 10, 2026, 12:10 a.m. |
Created at: May 1, 2026, 1:49 a.m.