Triple
T7101000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Department of Oncology, Charité – Universitätsmedizin Berlin |
E165457
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object |
Charité Comprehensive Cancer Center
The Charité Comprehensive Cancer Center is a leading oncology center within Charité – Universitätsmedizin Berlin that integrates cancer research, multidisciplinary patient care, and clinical trials.
|
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: Charité Comprehensive Cancer Center | Statement: [Department of Oncology, Charité – Universitätsmedizin Berlin, collaboratesWith, Charité Comprehensive Cancer Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charité Comprehensive Cancer Center Context triple: [Department of Oncology, Charité – Universitätsmedizin Berlin, collaboratesWith, Charité Comprehensive Cancer Center]
-
A.
German Cancer Research Center
The German Cancer Research Center is a leading biomedical research institution in Germany dedicated to understanding cancer and developing new strategies for its prevention, diagnosis, and treatment.
-
B.
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.
-
C.
National Center for Tumor Diseases Heidelberg
The National Center for Tumor Diseases Heidelberg is a leading German comprehensive cancer center that integrates cutting-edge research, interdisciplinary clinical care, and translational oncology to improve cancer diagnosis and treatment.
-
D.
Sidney Kimmel Comprehensive Cancer Center
The Sidney Kimmel Comprehensive Cancer Center is a leading National Cancer Institute–designated comprehensive cancer center at Johns Hopkins, renowned for its cutting-edge cancer research, treatment, and education.
-
E.
Royal Institute for Experimental Therapy, Frankfurt
The Royal Institute for Experimental Therapy in Frankfurt was a pioneering biomedical research institute in Germany, closely associated with Paul Ehrlich’s groundbreaking work in immunology and chemotherapy.
- 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: Charité Comprehensive Cancer Center Triple: [Department of Oncology, Charité – Universitätsmedizin Berlin, collaboratesWith, Charité Comprehensive Cancer Center]
Generated description
The Charité Comprehensive Cancer Center is a leading oncology center within Charité – Universitätsmedizin Berlin that integrates cancer research, multidisciplinary patient care, and clinical trials.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charité Comprehensive Cancer Center Target entity description: The Charité Comprehensive Cancer Center is a leading oncology center within Charité – Universitätsmedizin Berlin that integrates cancer research, multidisciplinary patient care, and clinical trials.
-
A.
German Cancer Research Center
The German Cancer Research Center is a leading biomedical research institution in Germany dedicated to understanding cancer and developing new strategies for its prevention, diagnosis, and treatment.
-
B.
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.
-
C.
National Center for Tumor Diseases Heidelberg
The National Center for Tumor Diseases Heidelberg is a leading German comprehensive cancer center that integrates cutting-edge research, interdisciplinary clinical care, and translational oncology to improve cancer diagnosis and treatment.
-
D.
Sidney Kimmel Comprehensive Cancer Center
The Sidney Kimmel Comprehensive Cancer Center is a leading National Cancer Institute–designated comprehensive cancer center at Johns Hopkins, renowned for its cutting-edge cancer research, treatment, and education.
-
E.
Royal Institute for Experimental Therapy, Frankfurt
The Royal Institute for Experimental Therapy in Frankfurt was a pioneering biomedical research institute in Germany, closely associated with Paul Ehrlich’s groundbreaking work in immunology and chemotherapy.
- 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.