Triple
T13703747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Rostock |
E328582
|
entity |
| Predicate | hasAffiliation |
P467
|
FINISHED |
| Object |
University Medical Center Rostock
University Medical Center Rostock is the teaching hospital and primary clinical research institution associated with the University of Rostock in Germany.
|
E1055380
|
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: University Medical Center Rostock | Statement: [University of Rostock, hasAffiliation, University Medical Center Rostock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University Medical Center Rostock Context triple: [University of Rostock, hasAffiliation, University Medical Center Rostock]
-
A.
University Medical Center Schleswig-Holstein
University Medical Center Schleswig-Holstein is one of Germany’s largest university hospitals, providing advanced medical care, research, and teaching across multiple campuses in the state of Schleswig-Holstein.
-
B.
University Medical Center Hamburg-Eppendorf
University Medical Center Hamburg-Eppendorf is a major academic teaching hospital and research institution in Hamburg, Germany, known for providing advanced medical care and serving as a key clinical partner of the University of Hamburg.
-
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.
University Hospital Leipzig
University Hospital Leipzig is a major teaching and research hospital in Leipzig, Germany, serving as the clinical center for the University of Leipzig’s medical education and patient care.
-
E.
University Hospital Jena
University Hospital Jena is a major teaching and research hospital in Jena, Germany, providing advanced medical care in close connection with the Friedrich Schiller University Jena.
- 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: University Medical Center Rostock Triple: [University of Rostock, hasAffiliation, University Medical Center Rostock]
Generated description
University Medical Center Rostock is the teaching hospital and primary clinical research institution associated with the University of Rostock in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University Medical Center Rostock Target entity description: University Medical Center Rostock is the teaching hospital and primary clinical research institution associated with the University of Rostock in Germany.
-
A.
University Medical Center Schleswig-Holstein
University Medical Center Schleswig-Holstein is one of Germany’s largest university hospitals, providing advanced medical care, research, and teaching across multiple campuses in the state of Schleswig-Holstein.
-
B.
University Medical Center Hamburg-Eppendorf
University Medical Center Hamburg-Eppendorf is a major academic teaching hospital and research institution in Hamburg, Germany, known for providing advanced medical care and serving as a key clinical partner of the University of Hamburg.
-
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.
University Hospital Leipzig
University Hospital Leipzig is a major teaching and research hospital in Leipzig, Germany, serving as the clinical center for the University of Leipzig’s medical education and patient care.
-
E.
University Hospital Jena
University Hospital Jena is a major teaching and research hospital in Jena, Germany, providing advanced medical care in close connection with the Friedrich Schiller University Jena.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad162158819089280ee1e6b5c2cf |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79459192c81908132ad9813d69125 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79655d5f08190a3cbf3e12e2ffa67 |
completed | May 3, 2026, 6:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7972a1cf48190a1d435227414967a |
completed | May 3, 2026, 6:42 p.m. |
Created at: April 9, 2026, 9:54 p.m.