Triple

T3744989

Position	Surface form	Disambiguated ID	Type / Status
Subject	College of Science and Engineering (University of Minnesota)	`E79788`	entity
Predicate	hasDepartment	`P35`	FINISHED
Object	Department of Mechanical Engineering (University of Minnesota) The Department of Mechanical Engineering at the University of Minnesota is an academic unit known for research and education in areas such as mechanics, materials, thermal sciences, and manufacturing within the College of Science and Engineering.	`E384283`	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: Department of Mechanical Engineering (University of Minnesota) | Statement: [College of Science and Engineering (University of Minnesota), hasDepartment, Department of Mechanical Engineering (University of Minnesota)]

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

Target entity: Department of Mechanical Engineering (University of Minnesota)
Context triple: [College of Science and Engineering (University of Minnesota), hasDepartment, Department of Mechanical Engineering (University of Minnesota)]

A. Department of Mechanical Engineering (University of Michigan)
The Department of Mechanical Engineering at the University of Michigan is a leading academic and research department known for its work in areas such as automotive engineering, robotics, energy systems, and advanced manufacturing.
B. Department of Mechanical Engineering
The Department of Mechanical Engineering at the Indian Institute of Technology Madras is a leading academic and research department in India, known for its strong programs in mechanical design, manufacturing, thermal sciences, and related engineering fields.
C. Department of Mechanical Engineering
The Department of Mechanical Engineering at MIT is a leading academic and research department focused on advancing mechanical sciences, engineering design, and innovation across areas such as robotics, energy, manufacturing, and ocean engineering.
D. Department of Mechanical Engineering
The Department of Mechanical Engineering at the University of Tokyo is a leading academic and research unit specializing in the science and engineering of mechanical systems, materials, and technologies.
E. Department of Mechanical Engineering
The Department of Mechanical Engineering at UC Berkeley is a leading academic and research unit focused on advancing mechanical sciences and engineering through innovative education and cutting-edge 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: Department of Mechanical Engineering (University of Minnesota)
Triple: [College of Science and Engineering (University of Minnesota), hasDepartment, Department of Mechanical Engineering (University of Minnesota)]

Generated description

The Department of Mechanical Engineering at the University of Minnesota is an academic unit known for research and education in areas such as mechanics, materials, thermal sciences, and manufacturing within the College of Science and Engineering.

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

Target entity: Department of Mechanical Engineering (University of Minnesota)
Target entity description: The Department of Mechanical Engineering at the University of Minnesota is an academic unit known for research and education in areas such as mechanics, materials, thermal sciences, and manufacturing within the College of Science and Engineering.

A. Department of Mechanical Engineering (University of Michigan)
The Department of Mechanical Engineering at the University of Michigan is a leading academic and research department known for its work in areas such as automotive engineering, robotics, energy systems, and advanced manufacturing.
B. Department of Mechanical Engineering
The Department of Mechanical Engineering at the Indian Institute of Technology Madras is a leading academic and research department in India, known for its strong programs in mechanical design, manufacturing, thermal sciences, and related engineering fields.
C. Department of Mechanical Engineering
The Department of Mechanical Engineering at MIT is a leading academic and research department focused on advancing mechanical sciences, engineering design, and innovation across areas such as robotics, energy, manufacturing, and ocean engineering.
D. Department of Mechanical Engineering
The Department of Mechanical Engineering at the University of Tokyo is a leading academic and research unit specializing in the science and engineering of mechanical systems, materials, and technologies.
E. Department of Mechanical Engineering
The Department of Mechanical Engineering at UC Berkeley is a leading academic and research unit focused on advancing mechanical sciences and engineering through innovative education and cutting-edge 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_69ad8b115610819095b02007da5ca3cb`	completed	March 8, 2026, 2:43 p.m.
NER	Named-entity recognition	`batch_69adcb58c9048190a055d1f4a7e6b699`	completed	March 8, 2026, 7:17 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69b4db2c2c5081909b83d89c989a8d1c`	completed	March 14, 2026, 3:51 a.m.
NEDg	Description generation	`batch_69b4dbd0b6e88190a857afe3c1041788`	completed	March 14, 2026, 3:53 a.m.
NED2	Entity disambiguation (via description)	`batch_69b4dc5114ec8190aee92e21a48ae268`	completed	March 14, 2026, 3:56 a.m.

Created at: March 8, 2026, 3:34 p.m.