Triple
T5359491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhine-Neckar metropolitan region |
E102983
|
entity |
| Predicate | hasResearchInstitution |
P186
|
FINISHED |
| Object |
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.
|
E514115
|
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: German Cancer Research Center | Statement: [Rhine-Neckar metropolitan region, hasResearchInstitution, German Cancer Research Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German Cancer Research Center Context triple: [Rhine-Neckar metropolitan region, hasResearchInstitution, German Cancer Research Center]
-
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 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.
-
C.
University Medical Center Göttingen
University Medical Center Göttingen is a major academic teaching hospital and research institution in Göttingen, Germany, providing specialized medical care while supporting clinical education and biomedical research.
-
D.
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.
-
E.
Hannover Medical School
Hannover Medical School is a leading German medical university and research institution located in Hanover, renowned for its clinical excellence and biomedical research.
- 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: German Cancer Research Center Triple: [Rhine-Neckar metropolitan region, hasResearchInstitution, German Cancer Research Center]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: German Cancer Research Center Target entity description: 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.
-
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 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.
-
C.
University Medical Center Göttingen
University Medical Center Göttingen is a major academic teaching hospital and research institution in Göttingen, Germany, providing specialized medical care while supporting clinical education and biomedical research.
-
D.
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.
-
E.
Hannover Medical School
Hannover Medical School is a leading German medical university and research institution located in Hanover, renowned for its clinical excellence and biomedical research.
- 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_69bd43daa3e4819090b59d127db70e57 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86330e4c8190b5452226886287b3 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21e955a8819094a0b12e42e2d6a6 |
completed | March 21, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69bf23d9ca3881909bfc0a2e99164450 |
completed | March 21, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf243319448190a30d6e8847d3f4b8 |
completed | March 21, 2026, 11:05 p.m. |
Created at: March 20, 2026, 2:02 p.m.