Triple

T3744993

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 Chemical Engineering and Materials Science (University of Minnesota) The Department of Chemical Engineering and Materials Science at the University of Minnesota is a leading academic and research unit known for its contributions to chemical engineering, materials science, and related interdisciplinary fields.	`E384287`	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 Chemical Engineering and Materials Science (University of Minnesota) | Statement: [College of Science and Engineering (University of Minnesota), hasDepartment, Department of Chemical Engineering and Materials Science (University of Minnesota)]

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

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

A. Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
B. Department of Materials Science and Engineering (University of Michigan)
The Department of Materials Science and Engineering at the University of Michigan is an academic department focused on research and education in the properties, design, and applications of materials for engineering and technology.
C. Department of Chemical Engineering (University of Michigan)
The Department of Chemical Engineering at the University of Michigan is a leading academic unit known for its research and education in areas such as energy, sustainability, materials, and biotechnology within the College of Engineering.
D. School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
E. School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit of Shanghai Jiao Tong University specializing in education and research on the properties, design, and applications of advanced materials.
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 Chemical Engineering and Materials Science (University of Minnesota)
Triple: [College of Science and Engineering (University of Minnesota), hasDepartment, Department of Chemical Engineering and Materials Science (University of Minnesota)]

Generated description

The Department of Chemical Engineering and Materials Science at the University of Minnesota is a leading academic and research unit known for its contributions to chemical engineering, materials science, and related interdisciplinary fields.

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

Target entity: Department of Chemical Engineering and Materials Science (University of Minnesota)
Target entity description: The Department of Chemical Engineering and Materials Science at the University of Minnesota is a leading academic and research unit known for its contributions to chemical engineering, materials science, and related interdisciplinary fields.

A. Department of Materials Science and Engineering
The Department of Materials Science and Engineering is an academic unit focused on studying and developing materials and their properties for engineering and technological applications.
B. Department of Materials Science and Engineering (University of Michigan)
The Department of Materials Science and Engineering at the University of Michigan is an academic department focused on research and education in the properties, design, and applications of materials for engineering and technology.
C. Department of Chemical Engineering (University of Michigan)
The Department of Chemical Engineering at the University of Michigan is a leading academic unit known for its research and education in areas such as energy, sustainability, materials, and biotechnology within the College of Engineering.
D. School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit at Huazhong University of Science and Technology specializing in education and research on the properties, design, and applications of advanced materials.
E. School of Materials Science and Engineering
The School of Materials Science and Engineering is an academic unit of Shanghai Jiao Tong University specializing in education and research on the properties, design, and applications of advanced materials.
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.