Triple
T7101413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Urology, Charité – Universitätsmedizin Berlin |
E165466
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
Faculty of Medicine, Charité – Universitätsmedizin Berlin
The Faculty of Medicine, Charité – Universitätsmedizin Berlin is the medical school and research arm of Charité, one of Europe’s largest and most renowned university hospitals, jointly operated by Humboldt University and Freie Universität Berlin.
|
E31135
|
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: Faculty of Medicine, Charité – Universitätsmedizin Berlin | Statement: [Department of Urology, Charité – Universitätsmedizin Berlin, partOf, Faculty of Medicine, Charité – Universitätsmedizin Berlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Charité – Universitätsmedizin Berlin Context triple: [Department of Urology, Charité – Universitätsmedizin Berlin, partOf, Faculty of Medicine, Charité – Universitätsmedizin Berlin]
-
A.
Charité – Universitätsmedizin Berlin
Charité – Universitätsmedizin Berlin is one of Europe’s largest and most renowned university hospitals, combining cutting-edge medical research, teaching, and patient care in partnership with Berlin’s major universities.
-
B.
Faculty of Medicine Carl Gustav Carus
The Faculty of Medicine Carl Gustav Carus is the medical school and research faculty of the Dresden University of Technology, known for its clinical training and biomedical research.
-
C.
Faculty of Medicine, Ludwig Maximilian University of Munich
The Faculty of Medicine at Ludwig Maximilian University of Munich is a major German medical school and research institution that trains physicians and conducts biomedical research in close association with the LMU Klinikum.
-
D.
Campus Virchow-Klinikum
Campus Virchow-Klinikum is a major clinical and research site of Charité in Berlin, known for its comprehensive medical services and academic teaching facilities.
-
E.
Faculty of Medicine Heidelberg
The Faculty of Medicine Heidelberg is the medical school of Heidelberg University, renowned for its research-intensive programs and clinical training in one of Germany’s leading academic medical centers.
- 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: Faculty of Medicine, Charité – Universitätsmedizin Berlin Triple: [Department of Urology, Charité – Universitätsmedizin Berlin, partOf, Faculty of Medicine, Charité – Universitätsmedizin Berlin]
Generated description
The Faculty of Medicine, Charité – Universitätsmedizin Berlin is the medical school and research arm of Charité, one of Europe’s largest and most renowned university hospitals, jointly operated by Humboldt University and Freie Universität Berlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Charité – Universitätsmedizin Berlin Target entity description: The Faculty of Medicine, Charité – Universitätsmedizin Berlin is the medical school and research arm of Charité, one of Europe’s largest and most renowned university hospitals, jointly operated by Humboldt University and Freie Universität Berlin.
-
A.
Charité – Universitätsmedizin Berlin
chosen
Charité – Universitätsmedizin Berlin is one of Europe’s largest and most renowned university hospitals, combining cutting-edge medical research, teaching, and patient care in partnership with Berlin’s major universities.
-
B.
Faculty of Medicine Carl Gustav Carus
The Faculty of Medicine Carl Gustav Carus is the medical school and research faculty of the Dresden University of Technology, known for its clinical training and biomedical research.
-
C.
Faculty of Medicine, Ludwig Maximilian University of Munich
The Faculty of Medicine at Ludwig Maximilian University of Munich is a major German medical school and research institution that trains physicians and conducts biomedical research in close association with the LMU Klinikum.
-
D.
Campus Virchow-Klinikum
Campus Virchow-Klinikum is a major clinical and research site of Charité in Berlin, known for its comprehensive medical services and academic teaching facilities.
-
E.
Faculty of Medicine Heidelberg
The Faculty of Medicine Heidelberg is the medical school of Heidelberg University, renowned for its research-intensive programs and clinical training in one of Germany’s leading academic medical centers.
- F. None of above.
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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e586b7208190bab9429ded35ba4f |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca9b58c8190a91023de6811b21a |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79d16d3408190a36ab53d5d202e15 |
completed | March 28, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79dc7d7d8819097e423ef70b03040 |
completed | March 28, 2026, 9:22 a.m. |
Created at: March 27, 2026, 2:42 p.m.