Triple

T2725813

Position	Surface form	Disambiguated ID	Type / Status
Subject	Department of Radiology, University Medical Center Göttingen	`E60187`	entity
Predicate	hasAcademicAffiliation	`P467`	FINISHED
Object	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.	`E308359`	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, University of Göttingen | Statement: [Department of Radiology, University Medical Center Göttingen, hasAcademicAffiliation, Faculty of Medicine, University of Göttingen]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Faculty of Medicine, University of Göttingen
Context triple: [Department of Radiology, University Medical Center Göttingen, hasAcademicAffiliation, Faculty of Medicine, University of Göttingen]

A. 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.
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. North Campus of the University of Göttingen
The North Campus of the University of Göttingen is a major science-focused area of the university that hosts several natural science faculties, research institutes, and laboratories.
D. Faculty of Physics, University of Göttingen
The Faculty of Physics at the University of Göttingen is a major academic division renowned for research and teaching across a broad range of physics disciplines, including theoretical, experimental, and condensed matter physics.
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: Faculty of Medicine, University of Göttingen
Triple: [Department of Radiology, University Medical Center Göttingen, hasAcademicAffiliation, Faculty of Medicine, University of Göttingen]

Generated description

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.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Faculty of Medicine, University of Göttingen
Target entity description: 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.

A. 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.
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. North Campus of the University of Göttingen
The North Campus of the University of Göttingen is a major science-focused area of the university that hosts several natural science faculties, research institutes, and laboratories.
D. Faculty of Physics, University of Göttingen
The Faculty of Physics at the University of Göttingen is a major academic division renowned for research and teaching across a broad range of physics disciplines, including theoretical, experimental, and condensed matter physics.
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_69ab4b746d248190958e052045c09255`	completed	March 6, 2026, 9:47 p.m.
NER	Named-entity recognition	`batch_69abdacd7e24819084a620063e3f7aa4`	completed	March 7, 2026, 7:59 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69b0311b05088190baa21a31cebec736`	completed	March 10, 2026, 2:56 p.m.
NEDg	Description generation	`batch_69b034ec1d508190ba885f68240589b2`	completed	March 10, 2026, 3:12 p.m.
NED2	Entity disambiguation (via description)	`batch_69b03c7c00508190834726dcdcc43511`	completed	March 10, 2026, 3:45 p.m.

Created at: March 6, 2026, 9:55 p.m.