Triple

T15849116

Position	Surface form	Disambiguated ID	Type / Status
Subject	Department of Biomedical Engineering (University of Minnesota)	`E384289`	entity
Predicate	collaboratesWith	`P37`	FINISHED
Object	Institute for Engineering in Medicine (University of Minnesota) The Institute for Engineering in Medicine at the University of Minnesota is an interdisciplinary research center that integrates engineering, medicine, and biology to develop innovative technologies for improving human health.	`E1179278`	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: Institute for Engineering in Medicine (University of Minnesota) | Statement: [Department of Biomedical Engineering (University of Minnesota), collaboratesWith, Institute for Engineering in Medicine (University of Minnesota)]

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

Target entity: Institute for Engineering in Medicine (University of Minnesota)
Context triple: [Department of Biomedical Engineering (University of Minnesota), collaboratesWith, Institute for Engineering in Medicine (University of Minnesota)]

A. Department of Biomedical Engineering (University of Minnesota)
The Department of Biomedical Engineering at the University of Minnesota is an academic unit that integrates engineering, biology, and medicine to advance research and education in medical technologies and healthcare solutions.
B. National Institute of Biomedical Imaging and Bioengineering
The National Institute of Biomedical Imaging and Bioengineering is a U.S. federal research institute that advances the development and application of biomedical imaging and bioengineering technologies to improve health.
C. Institute of Biomedical Engineering
The Institute of Biomedical Engineering is a graduate-level research and education center at Boğaziçi University focused on developing and applying engineering principles and technologies to solve problems in medicine and biology.
D. Institute for Medical Engineering and Science
The Institute for Medical Engineering and Science is an MIT research center that integrates engineering, science, and clinical medicine to develop innovative solutions for human health.
E. University of Minnesota Medical School
The University of Minnesota Medical School is a major public medical school and research institution known for its contributions to medical education, clinical care, and biomedical research in Minnesota and beyond.
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: Institute for Engineering in Medicine (University of Minnesota)
Triple: [Department of Biomedical Engineering (University of Minnesota), collaboratesWith, Institute for Engineering in Medicine (University of Minnesota)]

Generated description

The Institute for Engineering in Medicine at the University of Minnesota is an interdisciplinary research center that integrates engineering, medicine, and biology to develop innovative technologies for improving human health.

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

Target entity: Institute for Engineering in Medicine (University of Minnesota)
Target entity description: The Institute for Engineering in Medicine at the University of Minnesota is an interdisciplinary research center that integrates engineering, medicine, and biology to develop innovative technologies for improving human health.

A. Department of Biomedical Engineering (University of Minnesota)
The Department of Biomedical Engineering at the University of Minnesota is an academic unit that integrates engineering, biology, and medicine to advance research and education in medical technologies and healthcare solutions.
B. National Institute of Biomedical Imaging and Bioengineering
The National Institute of Biomedical Imaging and Bioengineering is a U.S. federal research institute that advances the development and application of biomedical imaging and bioengineering technologies to improve health.
C. Institute of Biomedical Engineering
The Institute of Biomedical Engineering is a graduate-level research and education center at Boğaziçi University focused on developing and applying engineering principles and technologies to solve problems in medicine and biology.
D. Institute for Medical Engineering and Science
The Institute for Medical Engineering and Science is an MIT research center that integrates engineering, science, and clinical medicine to develop innovative solutions for human health.
E. University of Minnesota Medical School
The University of Minnesota Medical School is a major public medical school and research institution known for its contributions to medical education, clinical care, and biomedical research in Minnesota and beyond.
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_69d86da422088190aac39e32e6c68429`	completed	April 10, 2026, 3:25 a.m.
NER	Named-entity recognition	`batch_69e14caa3fa481909bd01f3b901d7716`	completed	April 16, 2026, 8:55 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69ffa145f2dc819092db805806b6e1d5`	completed	May 9, 2026, 9:04 p.m.
NEDg	Description generation	`batch_69ffa41a86ec8190b46d541965ecf26e`	completed	May 9, 2026, 9:16 p.m.
NED2	Entity disambiguation (via description)	`batch_69ffa496f3e48190b8dc82bece548aec`	completed	May 9, 2026, 9:18 p.m.

Created at: April 10, 2026, 4:50 a.m.