Triple
T5954471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LMU Klinikum |
E132476
|
entity |
| Predicate | hasAffiliation |
P467
|
FINISHED |
| Object |
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.
|
E558217
|
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, Ludwig Maximilian University of Munich | Statement: [LMU Klinikum, hasAffiliation, Faculty of Medicine, Ludwig Maximilian University of Munich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Ludwig Maximilian University of Munich Context triple: [LMU Klinikum, hasAffiliation, Faculty of Medicine, Ludwig Maximilian University of Munich]
-
A.
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.
-
B.
Faculty of Medicine Mannheim
The Faculty of Medicine Mannheim is a medical school of Heidelberg University located in Mannheim, Germany, known for its clinical and translational research and training of future physicians.
-
C.
TUM School of Medicine and Health
TUM School of Medicine and Health is the medical and health sciences faculty of the Technical University of Munich, offering education and research in medicine, public health, and related disciplines.
-
D.
Faculty of Medicine, University of Göttingen
The Faculty of Medicine at the University of Göttingen is a major academic division of the university responsible for medical education, research, and clinical training in collaboration with the University Medical Center Göttingen.
-
E.
University Medical Center Freiburg
University Medical Center Freiburg is a major teaching and research hospital in Freiburg, Germany, serving as the clinical arm of the University of Freiburg and providing advanced medical care across a wide range of specialties.
- 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, Ludwig Maximilian University of Munich Triple: [LMU Klinikum, hasAffiliation, Faculty of Medicine, Ludwig Maximilian University of Munich]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Faculty of Medicine, Ludwig Maximilian University of Munich Target entity description: 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.
-
A.
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.
-
B.
Faculty of Medicine Mannheim
The Faculty of Medicine Mannheim is a medical school of Heidelberg University located in Mannheim, Germany, known for its clinical and translational research and training of future physicians.
-
C.
TUM School of Medicine and Health
TUM School of Medicine and Health is the medical and health sciences faculty of the Technical University of Munich, offering education and research in medicine, public health, and related disciplines.
-
D.
Faculty of Medicine, University of Göttingen
The Faculty of Medicine at the University of Göttingen is a major academic division of the university responsible for medical education, research, and clinical training in collaboration with the University Medical Center Göttingen.
-
E.
University Medical Center Freiburg
University Medical Center Freiburg is a major teaching and research hospital in Freiburg, Germany, serving as the clinical arm of the University of Freiburg and providing advanced medical care across a wide range of specialties.
- 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_69c0086b05cc8190a8f36a96927a525c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039c054a48190ace32250c43e29b4 |
completed | March 22, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e3d77fb08190a24d319adc608df5 |
completed | March 23, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69c0f4d9f7608190a1dc5fadf8c7a050 |
completed | March 23, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0f536b8108190bfe7907c488819f9 |
completed | March 23, 2026, 8:09 a.m. |
Created at: March 22, 2026, 4:02 p.m.