Triple
T13309443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, Ankara University |
E317021
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object |
Department of Internal Medicine
The Department of Internal Medicine at Ankara University’s Faculty of Medicine is a major clinical and academic unit responsible for training physicians, conducting research, and providing comprehensive adult medical care across a wide range of internal medicine subspecialties.
|
E1032311
|
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 Internal Medicine | Statement: [Faculty of Medicine, Ankara University, hasDepartment, Department of Internal Medicine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Internal Medicine Context triple: [Faculty of Medicine, Ankara University, hasDepartment, Department of Internal Medicine]
-
A.
Department of Internal Medicine
The Department of Internal Medicine at the University of Tokyo’s Faculty of Medicine is a major academic and clinical unit specializing in the research, education, and treatment of adult diseases across multiple internal medicine subspecialties.
-
B.
Department of Internal Medicine
The Department of Internal Medicine at Osaka University’s Graduate School of Medicine is a clinical and research unit focused on the diagnosis, treatment, and study of adult diseases across multiple internal medicine subspecialties.
-
C.
Department of Internal Medicine
The Department of Internal Medicine is an academic and clinical unit specializing in the study, teaching, and practice of adult medical care and internal diseases.
-
D.
Department of Internal Medicine
The Department of Internal Medicine is a clinical academic unit within the Faculty of Medicine, University of Indonesia, responsible for education, research, and patient care in adult internal medicine and its subspecialties.
-
E.
Department of Internal Medicine
The Department of Internal Medicine at Yonsei University College of Medicine is a core clinical department specializing in the diagnosis, treatment, and research of adult diseases across multiple internal medicine subspecialties.
- 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 Internal Medicine Triple: [Faculty of Medicine, Ankara University, hasDepartment, Department of Internal Medicine]
Generated description
The Department of Internal Medicine at Ankara University’s Faculty of Medicine is a major clinical and academic unit responsible for training physicians, conducting research, and providing comprehensive adult medical care across a wide range of internal medicine subspecialties.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Internal Medicine Target entity description: The Department of Internal Medicine at Ankara University’s Faculty of Medicine is a major clinical and academic unit responsible for training physicians, conducting research, and providing comprehensive adult medical care across a wide range of internal medicine subspecialties.
-
A.
Department of Internal Medicine
The Department of Internal Medicine at Cairo University's Faculty of Medicine is a major clinical and academic unit responsible for training physicians and providing specialized care across a wide range of adult medical subspecialties.
-
B.
Department of Internal Medicine
The Department of Internal Medicine at the University of Tokyo’s Faculty of Medicine is a major academic and clinical unit specializing in the research, education, and treatment of adult diseases across multiple internal medicine subspecialties.
-
C.
Department of Internal Medicine
The Department of Internal Medicine is an academic and clinical unit specializing in the study, teaching, and practice of adult medical care and internal diseases.
-
D.
Department of Internal Medicine
The Department of Internal Medicine is a clinical academic unit within the Faculty of Medicine, University of Indonesia, responsible for education, research, and patient care in adult internal medicine and its subspecialties.
-
E.
Department of Internal Medicine
The Department of Internal Medicine at Osaka University’s Graduate School of Medicine is a clinical and research unit focused on the diagnosis, treatment, and study of adult diseases across multiple internal medicine subspecialties.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990f56abc8190951774a999e2ce11 |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e58cc48190afb46e8394227ab5 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7184c55108190a4d60a5bf4bd2208 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:29 p.m.