Triple
T10073919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Iowa College of Public Health |
E213699
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Biostatistics
The Department of Biostatistics at the University of Iowa College of Public Health is an academic unit specializing in the development and application of statistical methods to biomedical and public health research.
|
E839093
|
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: Department of Biostatistics | Statement: [University of Iowa College of Public Health, hasDepartment, Department of Biostatistics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Biostatistics Context triple: [University of Iowa College of Public Health, hasDepartment, Department of Biostatistics]
-
A.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
B.
Office of Biostatistics
The Office of Biostatistics is a specialized FDA unit that provides statistical expertise and evaluation for drug development and regulatory decision-making.
-
C.
Department of Epidemiology and Biostatistics
The Department of Epidemiology and Biostatistics is an academic unit specializing in the study of disease patterns, health determinants, and the statistical methods used to analyze public health and medical data.
-
D.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
-
E.
Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
- 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: Department of Biostatistics Triple: [University of Iowa College of Public Health, hasDepartment, Department of Biostatistics]
Generated description
The Department of Biostatistics at the University of Iowa College of Public Health is an academic unit specializing in the development and application of statistical methods to biomedical and public health research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Biostatistics Target entity description: The Department of Biostatistics at the University of Iowa College of Public Health is an academic unit specializing in the development and application of statistical methods to biomedical and public health research.
-
A.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
B.
Office of Biostatistics
The Office of Biostatistics is a specialized FDA unit that provides statistical expertise and evaluation for drug development and regulatory decision-making.
-
C.
Department of Epidemiology and Biostatistics
The Department of Epidemiology and Biostatistics is an academic unit specializing in the study of disease patterns, health determinants, and the statistical methods used to analyze public health and medical data.
-
D.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
-
E.
Department of Statistics
The Department of Statistics is an academic unit at Yangon University of Economics that focuses on teaching and research in statistical theory and its applications to economics and related fields.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd015ad488190aee3a2bfb58fb855 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29abcb72c81908c265f057532ccb7 |
completed | April 5, 2026, 5:24 p.m. |
| NEDg | Description generation | batch_69d29b985e308190a6ec3966e02f429c |
completed | April 5, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d29c5f64c881909aa3d093422fe475 |
completed | April 5, 2026, 5:31 p.m. |
Created at: March 30, 2026, 8:59 p.m.