Triple
T13368786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, Autonomous University of Madrid |
E319007
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Preventive Medicine and Public Health
The Department of Preventive Medicine and Public Health is an academic unit focused on research and teaching in disease prevention, epidemiology, and population health within the Faculty of Medicine of the Autonomous University of Madrid.
|
E1037719
|
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 Preventive Medicine and Public Health | Statement: [Faculty of Medicine, Autonomous University of Madrid, hasDepartment, Department of Preventive Medicine and Public Health]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Preventive Medicine and Public Health Context triple: [Faculty of Medicine, Autonomous University of Madrid, hasDepartment, Department of Preventive Medicine and Public Health]
-
A.
School of Public Health and Preventive Medicine
The School of Public Health and Preventive Medicine is an academic institution focused on research and education in population health, disease prevention, and health policy within the broader medical and health sciences field.
-
B.
Department of Public Health Sciences
The Department of Public Health Sciences is an academic unit focused on research and education in population health, epidemiology, and health policy within the School of Medicine and Dentistry.
-
C.
Department of Epidemiology
The Department of Epidemiology is an academic unit focused on studying the patterns, causes, and prevention of disease in populations through research, education, and public health practice.
-
D.
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.
-
E.
Department of Sociomedical Sciences
The Department of Sociomedical Sciences is an academic unit at Columbia University's Mailman School of Public Health that focuses on the social, behavioral, and cultural determinants of health and their implications for public health policy and practice.
- 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 Preventive Medicine and Public Health Triple: [Faculty of Medicine, Autonomous University of Madrid, hasDepartment, Department of Preventive Medicine and Public Health]
Generated description
The Department of Preventive Medicine and Public Health is an academic unit focused on research and teaching in disease prevention, epidemiology, and population health within the Faculty of Medicine of the Autonomous University of Madrid.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Preventive Medicine and Public Health Target entity description: The Department of Preventive Medicine and Public Health is an academic unit focused on research and teaching in disease prevention, epidemiology, and population health within the Faculty of Medicine of the Autonomous University of Madrid.
-
A.
School of Public Health and Preventive Medicine
The School of Public Health and Preventive Medicine is an academic institution focused on research and education in population health, disease prevention, and health policy within the broader medical and health sciences field.
-
B.
Department of Public Health Sciences
The Department of Public Health Sciences is an academic unit focused on research and education in population health, epidemiology, and health policy within the School of Medicine and Dentistry.
-
C.
Department of Epidemiology
The Department of Epidemiology is an academic unit focused on studying the patterns, causes, and prevention of disease in populations through research, education, and public health practice.
-
D.
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.
-
E.
Department of Sociomedical Sciences
The Department of Sociomedical Sciences is an academic unit at Columbia University's Mailman School of Public Health that focuses on the social, behavioral, and cultural determinants of health and their implications for public health policy and practice.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd79184819088948cd38d10a4a5 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72680df088190b8dbcc8ad0d7366e |
completed | May 3, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:33 p.m.