Triple
T190542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, Cairo University |
E3709
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Radiology
The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
|
E24047
|
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 Radiology | Statement: [Faculty of Medicine, Cairo University, hasDepartment, Department of Radiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Radiology Context triple: [Faculty of Medicine, Cairo University, hasDepartment, Department of Radiology]
-
A.
Department of Radiology, Duke University
The Department of Radiology at Duke University is a leading academic and clinical radiology center known for advanced imaging research, innovative diagnostic and interventional services, and comprehensive resident and fellowship training.
-
B.
Department of Radiology, University of Cambridge
The Department of Radiology at the University of Cambridge is a leading academic and clinical center for imaging research, education, and diagnostic radiology within the university’s medical school.
-
C.
Faculty of Medicine
The Faculty of Medicine at Sorbonne University is a major French medical school and research institution known for training physicians and advancing biomedical research in Paris.
-
D.
Faculty of Medicine
The Faculty of Medicine at the University of Zurich is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
-
E.
Faculty of Medicine
The Faculty of Medicine at the University of Göttingen is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
- 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 Radiology Triple: [Faculty of Medicine, Cairo University, hasDepartment, Department of Radiology]
Generated description
The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Radiology Target entity description: The Department of Radiology at Cairo University's Faculty of Medicine is an academic and clinical unit specializing in medical imaging education, research, and diagnostic services.
-
A.
Department of Radiology, Duke University
The Department of Radiology at Duke University is a leading academic and clinical radiology center known for advanced imaging research, innovative diagnostic and interventional services, and comprehensive resident and fellowship training.
-
B.
Department of Radiology, University of Cambridge
The Department of Radiology at the University of Cambridge is a leading academic and clinical center for imaging research, education, and diagnostic radiology within the university’s medical school.
-
C.
Faculty of Medicine
The Faculty of Medicine at Sorbonne University is a major French medical school and research institution known for training physicians and advancing biomedical research in Paris.
-
D.
Faculty of Medicine
The Faculty of Medicine at the University of Zurich is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
-
E.
Faculty of Medicine
The Faculty of Medicine at the University of Göttingen is a major academic division responsible for medical education, clinical training, and biomedical research within the university.
- 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_69a2548debd48190ae3a06d6e65b53c6 |
completed | Feb. 28, 2026, 2:35 a.m. |
| NER | Named-entity recognition | batch_69a2594c385481909e1e088e45c460a4 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a305e64a9081908f147299826d5ae9 |
completed | Feb. 28, 2026, 3:12 p.m. |
| NEDg | Description generation | batch_69a30679b0648190975dcfaf4f9846bf |
completed | Feb. 28, 2026, 3:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a306e6ce6c8190a77d42643914b03a |
completed | Feb. 28, 2026, 3:16 p.m. |
Created at: Feb. 28, 2026, 2:41 a.m.