Triple
T65468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Medicine, University of Göttingen |
E1303
|
entity |
| Predicate | affiliatedWith |
P254
|
FINISHED |
| Object |
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.
|
E9812
|
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 Göttingen | Statement: [Faculty of Medicine, University of Göttingen, affiliatedWith, University Medical Center Göttingen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University Medical Center Göttingen Context triple: [Faculty of Medicine, University of Göttingen, affiliatedWith, University Medical Center Göttingen]
-
A.
University of Göttingen
The University of Göttingen is a renowned German research university, historically significant in physics and mathematics and once a leading center for theoretical science in Europe.
-
B.
Göttingen State and University Library
Göttingen State and University Library is one of Germany’s largest and most important academic libraries, renowned for its extensive historical collections and central role in supporting research and teaching at the University of Göttingen.
-
C.
Humboldt University of Berlin
Humboldt University of Berlin is a prestigious public research university in Germany’s capital, renowned for its historic contributions to science and the humanities and for pioneering the modern research university model.
-
D.
Max Planck Society institutes in Göttingen
The Max Planck Society institutes in Göttingen are a group of leading German research institutes specializing in advanced scientific fields such as physics, biophysics, and neuroscience, operating under the Max Planck Society and collaborating closely with the University of Göttingen.
-
E.
Göttingen, Lower Saxony, Germany
Göttingen, in Lower Saxony, Germany, is a historic university city renowned for its prestigious Georg-August University and long-standing academic and scientific traditions.
- 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 Göttingen Triple: [Faculty of Medicine, University of Göttingen, affiliatedWith, University Medical Center Göttingen]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: University Medical Center Göttingen Target entity description: 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.
-
A.
University of Göttingen
The University of Göttingen is a renowned German research university, historically significant in physics and mathematics and once a leading center for theoretical science in Europe.
-
B.
Göttingen State and University Library
Göttingen State and University Library is one of Germany’s largest and most important academic libraries, renowned for its extensive historical collections and central role in supporting research and teaching at the University of Göttingen.
-
C.
Humboldt University of Berlin
Humboldt University of Berlin is a prestigious public research university in Germany’s capital, renowned for its historic contributions to science and the humanities and for pioneering the modern research university model.
-
D.
Max Planck Society institutes in Göttingen
The Max Planck Society institutes in Göttingen are a group of leading German research institutes specializing in advanced scientific fields such as physics, biophysics, and neuroscience, operating under the Max Planck Society and collaborating closely with the University of Göttingen.
-
E.
Göttingen, Lower Saxony, Germany
Göttingen, in Lower Saxony, Germany, is a historic university city renowned for its prestigious Georg-August University and long-standing academic and scientific traditions.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24ee6ba348190b00977285d74d8f5 |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26c19b6088190af308ead33ae784e |
completed | Feb. 28, 2026, 4:16 a.m. |
| NEDg | Description generation | batch_69a26f0d3b088190a3b44743fefa35c1 |
completed | Feb. 28, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a26f7305148190895ffb57fb0ccfeb |
completed | Feb. 28, 2026, 4:30 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.