Triple
T14269720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, Nahda University in Beni Suef |
E353746
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Microbiology
The Department of Microbiology is an academic unit within Nahda University's Faculty of Medicine in Beni Suef that focuses on teaching and researching microorganisms and their roles in human health and disease.
|
E1089365
|
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 Microbiology | Statement: [Faculty of Medicine, Nahda University in Beni Suef, hasDepartment, Department of Microbiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Microbiology Context triple: [Faculty of Medicine, Nahda University in Beni Suef, hasDepartment, Department of Microbiology]
-
A.
Department of Microbiology
The Department of Microbiology is an academic unit specializing in the study, research, and teaching of microorganisms and infectious diseases within the Faculty of Medicine at Cairo University.
-
B.
Department of Microbiology
The Department of Microbiology is an academic unit of Scottish Church College that focuses on teaching and research in microbiology and related biological sciences.
-
C.
Department of Microbiology
The Department of Microbiology is an academic and clinical unit within Government Medical College Mahbubnagar that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
-
D.
Department of Microbiology
The Department of Microbiology is an academic and clinical unit specializing in the study, diagnosis, and research of microorganisms and infectious diseases within Darbhanga Medical College and Hospital.
-
E.
Department of Microbiology
The Department of Microbiology is an academic and clinical unit specializing in the study, diagnosis, and research of microorganisms and infectious diseases within Medical College Jabalpur.
- 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 Microbiology Triple: [Faculty of Medicine, Nahda University in Beni Suef, hasDepartment, Department of Microbiology]
Generated description
The Department of Microbiology is an academic unit within Nahda University's Faculty of Medicine in Beni Suef that focuses on teaching and researching microorganisms and their roles in human health and disease.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Microbiology Target entity description: The Department of Microbiology is an academic unit within Nahda University's Faculty of Medicine in Beni Suef that focuses on teaching and researching microorganisms and their roles in human health and disease.
-
A.
Department of Microbiology
The Department of Microbiology is an academic unit specializing in the study, research, and teaching of microorganisms and infectious diseases within the Faculty of Medicine at Cairo University.
-
B.
Department of Microbiology
The Department of Microbiology is an academic unit focused on the study and research of microorganisms and their roles in health, disease, and the environment.
-
C.
Department of Microbiology
The Department of Microbiology is an academic unit specializing in the study, teaching, and research of microorganisms and infectious diseases within the Faculty of Medicine at the University of Ruhuna.
-
D.
Department of Microbiology
The Department of Microbiology is an academic and clinical unit at the Mahatma Gandhi Institute of Medical Sciences that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
-
E.
Department of Microbiology
The Department of Microbiology is an academic and clinical unit within Government Medical College Mahbubnagar that focuses on the study, diagnosis, and research of microorganisms and infectious diseases.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de657fe6708190b41de48c43cff647 |
completed | April 14, 2026, 4:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd32682a0481908918570a778e185a |
completed | May 8, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69fd3325e8448190960da169f7f9fe40 |
completed | May 8, 2026, 12:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd33fd92608190a0dcaaafe0cfc51a |
completed | May 8, 2026, 12:53 a.m. |
Created at: April 10, 2026, 1:10 a.m.