Triple
T14269725
| 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 Anesthesiology
The Department of Anesthesiology is an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Nahda University in Beni Suef’s Faculty of Medicine.
|
E1089369
|
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 Anesthesiology | Statement: [Faculty of Medicine, Nahda University in Beni Suef, hasDepartment, Department of Anesthesiology]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology Context triple: [Faculty of Medicine, Nahda University in Beni Suef, hasDepartment, Department of Anesthesiology]
-
A.
Department of Anesthesiology
The Department of Anesthesiology is a clinical and academic unit specializing in anesthesia, perioperative medicine, pain management, and critical care within the University Medical Center Göttingen.
-
B.
Department of Anesthesiology
The Department of Anesthesiology at the University of Tokyo’s Faculty of Medicine is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management research and education.
-
C.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within the UNC School of Medicine.
-
D.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within King George’s Medical University.
-
E.
Department of Anesthesiology
The Department of Anesthesiology at Kyoto University's Graduate School of Medicine is an academic and clinical department specializing in anesthesia, perioperative medicine, and pain management research and education.
- 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 Anesthesiology Triple: [Faculty of Medicine, Nahda University in Beni Suef, hasDepartment, Department of Anesthesiology]
Generated description
The Department of Anesthesiology is an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Nahda University in Beni Suef’s Faculty of Medicine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Anesthesiology Target entity description: The Department of Anesthesiology is an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Nahda University in Beni Suef’s Faculty of Medicine.
-
A.
Department of Anesthesiology
The Department of Anesthesiology is an academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within Cairo University's Faculty of Medicine.
-
B.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within Ankara University’s Faculty of Medicine.
-
C.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative medicine, and pain management within the UNC School of Medicine.
-
D.
Department of Anesthesiology
The Department of Anesthesiology is a medical academic and clinical unit specializing in anesthesia, perioperative care, and pain management within King George’s Medical University.
-
E.
Department of Anesthesiology
The Department of Anesthesiology at the University of Tokyo’s Faculty of Medicine is a clinical and academic unit specializing in anesthesia, perioperative medicine, and pain management research and education.
- 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.