Triple

T3744997

Position	Surface form	Disambiguated ID	Type / Status
Subject	College of Science and Engineering (University of Minnesota)	`E79788`	entity
Predicate	hasDepartment	`P35`	FINISHED
Object	School of Statistics (University of Minnesota) The School of Statistics at the University of Minnesota is a leading academic unit specializing in statistical theory, methodology, and applications, offering undergraduate and graduate programs and conducting influential research in statistics and data science.	`E384291`	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: School of Statistics (University of Minnesota) | Statement: [College of Science and Engineering (University of Minnesota), hasDepartment, School of Statistics (University of Minnesota)]

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

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

A. Department of Statistics (University of Wisconsin–Madison)
The Department of Statistics at the University of Wisconsin–Madison is a leading academic department known for its research and teaching in statistical theory, methods, and applications across diverse scientific fields.
B. Department of Statistics (UC Berkeley)
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
C. Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
D. Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
E. Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
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: School of Statistics (University of Minnesota)
Triple: [College of Science and Engineering (University of Minnesota), hasDepartment, School of Statistics (University of Minnesota)]

Generated description

The School of Statistics at the University of Minnesota is a leading academic unit specializing in statistical theory, methodology, and applications, offering undergraduate and graduate programs and conducting influential research in statistics and data science.

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

Target entity: School of Statistics (University of Minnesota)
Target entity description: The School of Statistics at the University of Minnesota is a leading academic unit specializing in statistical theory, methodology, and applications, offering undergraduate and graduate programs and conducting influential research in statistics and data science.

A. Department of Statistics (University of Wisconsin–Madison)
The Department of Statistics at the University of Wisconsin–Madison is a leading academic department known for its research and teaching in statistical theory, methods, and applications across diverse scientific fields.
B. Department of Statistics (UC Berkeley)
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
C. Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
D. Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
E. Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
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.