Triple
T15826981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, Hacettepe University |
E383768
|
entity |
| Predicate | hasUnit |
P35
|
FINISHED |
| Object |
Department of Infectious Diseases and Clinical Microbiology
The Department of Infectious Diseases and Clinical Microbiology is a medical academic and clinical unit specializing in the diagnosis, treatment, and research of infectious diseases and their causative microorganisms.
|
E1178802
|
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 Infectious Diseases and Clinical Microbiology | Statement: [Faculty of Medicine, Hacettepe University, hasUnit, Department of Infectious Diseases and Clinical Microbiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Infectious Diseases and Clinical Microbiology Context triple: [Faculty of Medicine, Hacettepe University, hasUnit, Department of Infectious Diseases and Clinical Microbiology]
-
A.
Department of Infectious Diseases
The Department of Infectious Diseases is a specialized clinical unit at Tan Tock Seng Hospital in Singapore focused on the diagnosis, treatment, and control of infectious diseases and outbreaks.
-
B.
Department of Infectious Diseases
The Department of Infectious Diseases is a clinical and research unit specializing in the diagnosis, treatment, and prevention of infectious diseases at Uppsala University Hospital.
-
C.
Department of Medical Microbiology & Immunology
The Department of Medical Microbiology & Immunology is an academic unit specializing in the study, teaching, and research of infectious diseases and immune system function within a medical faculty.
-
D.
Department of Medical Microbiology
The Department of Medical Microbiology is an academic and clinical unit specializing in the study, diagnosis, and control of infectious diseases and pathogenic microorganisms within the University Medical Center Göttingen.
-
E.
Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic unit at McGill University dedicated to research and education in infectious diseases, host–pathogen interactions, and immune system function.
- 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 Infectious Diseases and Clinical Microbiology Triple: [Faculty of Medicine, Hacettepe University, hasUnit, Department of Infectious Diseases and Clinical Microbiology]
Generated description
The Department of Infectious Diseases and Clinical Microbiology is a medical academic and clinical unit specializing in the diagnosis, treatment, and research of infectious diseases and their causative microorganisms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Infectious Diseases and Clinical Microbiology Target entity description: The Department of Infectious Diseases and Clinical Microbiology is a medical academic and clinical unit specializing in the diagnosis, treatment, and research of infectious diseases and their causative microorganisms.
-
A.
Department of Infectious Diseases
The Department of Infectious Diseases is a specialized clinical unit at Tan Tock Seng Hospital in Singapore focused on the diagnosis, treatment, and control of infectious diseases and outbreaks.
-
B.
Department of Infectious Diseases
The Department of Infectious Diseases is a clinical and research unit specializing in the diagnosis, treatment, and prevention of infectious diseases at Uppsala University Hospital.
-
C.
Department of Medical Microbiology & Immunology
The Department of Medical Microbiology & Immunology is an academic unit specializing in the study, teaching, and research of infectious diseases and immune system function within a medical faculty.
-
D.
Department of Medical Microbiology
The Department of Medical Microbiology is an academic and clinical unit specializing in the study, diagnosis, and control of infectious diseases and pathogenic microorganisms within the University Medical Center Göttingen.
-
E.
Department of Microbiology and Immunology
The Department of Microbiology and Immunology is an academic unit at McGill University dedicated to research and education in infectious diseases, host–pathogen interactions, and immune system function.
- 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e60fe748190baa49c49605efd0d |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff999da5008190921b3f129787999e |
completed | May 9, 2026, 8:31 p.m. |
| NEDg | Description generation | batch_69ff9a82cadc8190a57f40062d29a998 |
completed | May 9, 2026, 8:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff9b5dbf80819085fdfcdff424511b |
completed | May 9, 2026, 8:38 p.m. |
Created at: April 10, 2026, 4:49 a.m.