Triple
T22744634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Kansas |
E562513
|
entity |
| Predicate | hasSchool |
P113
|
FINISHED |
| Object | School of Health Professions |
—
|
NE NERFINISHED |
How this triple was built (3 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: School of Health Professions | Statement: [University of Kansas, hasSchool, School of Health Professions]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Health Professions Context triple: [University of Kansas, hasSchool, School of Health Professions]
-
A.
School of Health Professions
The School of Health Professions at Long Island University is an academic division that offers professional and graduate programs preparing students for careers in various health-related fields.
-
B.
School of Health Professions
The School of Health Professions is a faculty within Assumption University that offers academic programs and training for careers in healthcare and allied health fields.
-
C.
School of Health Professions
The School of Health Professions is an academic unit of the University of Puerto Rico’s Medical Sciences Campus that offers professional and graduate programs in various allied health fields.
-
D.
School of Health Professions
The School of Health Professions is an academic division of Texas Tech University Health Sciences Center that offers education and training programs for a variety of allied health and clinical professions.
-
E.
School of Health Professions
The School of Health Professions is an academic division of SUNY Downstate Health Sciences University that educates and trains students for a range of allied health and clinical careers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Health Professions Target entity description: The School of Health Professions is a division of the University of Kansas that offers education and training programs for a wide range of allied health and clinical professions.
-
A.
School of Health Professions
The School of Health Professions is an academic division of Texas Tech University Health Sciences Center that offers education and training programs for a variety of allied health and clinical professions.
-
B.
School of Health Professions
The School of Health Professions is an academic division of UT Health San Antonio that offers education and training programs for a variety of allied health and clinical professions.
-
C.
School of Health Professions
The School of Health Professions is a Rutgers Biomedical and Health Sciences unit that offers education and training programs for a wide range of allied health and clinical professions.
-
D.
School of Health Professions
The School of Health Professions is an academic division of Saint Joseph's University that offers specialized programs preparing students for careers in healthcare and allied health fields.
-
E.
School of Health Professions
The School of Health Professions is an academic unit of the University of North Texas Health Science Center that offers professional and graduate programs preparing students for a variety of allied health and clinical careers.
- F. None of above. chosen
Provenance (2 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1797590f08190a784f73fcd27b101 |
completed | April 29, 2026, 3:22 a.m. |
Created at: April 17, 2026, 3:23 p.m.