Triple
T679093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Portland |
E13141
|
entity |
| Predicate | hasSchool |
P113
|
FINISHED |
| Object |
School of Nursing & Health Innovations
The School of Nursing & Health Innovations is the University of Portland’s academic unit dedicated to educating future nurses and health professionals through clinical training, research, and community-focused healthcare programs.
|
E84067
|
NE FINISHED |
How this triple was built (4 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 Nursing & Health Innovations | Statement: [University of Portland, hasSchool, School of Nursing & Health Innovations]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: School of Nursing & Health Innovations Context triple: [University of Portland, hasSchool, School of Nursing & Health Innovations]
-
A.
School of Nursing and Health Studies
The School of Nursing and Health Studies is the University of Miami’s academic unit dedicated to educating healthcare professionals and advancing research in nursing and related health sciences.
-
B.
School of Nursing
The School of Nursing at George Washington University is an academic division dedicated to educating nurses and advancing nursing research and practice within the university’s health sciences programs.
-
C.
School of Nursing
The School of Nursing at Georgetown University is an academic division dedicated to educating nurses and advancing nursing research and practice within a Jesuit, values-based framework.
-
D.
School of Nursing
The School of Nursing at the University of Pennsylvania is a leading institution for nursing education, research, and clinical practice, known for its rigorous programs and contributions to healthcare innovation.
-
E.
School of Nursing
The School of Nursing at Vanderbilt University is a graduate-level institution known for its advanced nursing education, research, and clinical practice programs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: School of Nursing & Health Innovations Triple: [University of Portland, hasSchool, School of Nursing & Health Innovations]
Generated description
The School of Nursing & Health Innovations is the University of Portland’s academic unit dedicated to educating future nurses and health professionals through clinical training, research, and community-focused healthcare programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: School of Nursing & Health Innovations Target entity description: The School of Nursing & Health Innovations is the University of Portland’s academic unit dedicated to educating future nurses and health professionals through clinical training, research, and community-focused healthcare programs.
-
A.
School of Nursing and Health Studies
The School of Nursing and Health Studies is the University of Miami’s academic unit dedicated to educating healthcare professionals and advancing research in nursing and related health sciences.
-
B.
School of Nursing
The School of Nursing at George Washington University is an academic division dedicated to educating nurses and advancing nursing research and practice within the university’s health sciences programs.
-
C.
School of Nursing
The School of Nursing at the University of Pennsylvania is a leading institution for nursing education, research, and clinical practice, known for its rigorous programs and contributions to healthcare innovation.
-
D.
School of Nursing
The School of Nursing at Vanderbilt University is a graduate-level institution known for its advanced nursing education, research, and clinical practice programs.
-
E.
School of Nursing
The School of Nursing at Georgetown University is an academic division dedicated to educating nurses and advancing nursing research and practice within a Jesuit, values-based framework.
- F. None of above. chosen
Provenance (5 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a04e17088190943d54977eb3f83a |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a5dc9f5f7c8190a766c6b545d1abd8 |
completed | March 2, 2026, 6:53 p.m. |
| NEDg | Description generation | batch_69a5e6b3283c8190ad75e86ebd413127 |
completed | March 2, 2026, 7:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a5fd670f0c8190a577b7ebf8120368 |
completed | March 2, 2026, 9:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.