Triple

T605410

Position	Surface form	Disambiguated ID	Type / Status
Subject	University of Wisconsin–Madison	`E11582`	entity
Predicate	hasFacility	`P105`	FINISHED
Object	Wisconsin Institutes for Discovery The Wisconsin Institutes for Discovery is an interdisciplinary research and public engagement center at the University of Wisconsin–Madison that fosters collaboration across science, engineering, arts, and education.	`E75603`	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: Wisconsin Institutes for Discovery | Statement: [University of Wisconsin–Madison, hasFacility, Wisconsin Institutes for Discovery]

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

Target entity: Wisconsin Institutes for Discovery
Context triple: [University of Wisconsin–Madison, hasFacility, Wisconsin Institutes for Discovery]

A. University of Wisconsin–Madison
The University of Wisconsin–Madison is a major public research university in Madison, Wisconsin, renowned for its strong academic programs, extensive research output, and flagship status within the University of Wisconsin System.
B. Beckman Institute for Advanced Science and Technology
The Beckman Institute for Advanced Science and Technology is a prominent interdisciplinary research center at the University of Illinois at Urbana-Champaign, known for pioneering work at the intersection of engineering, physical sciences, and life sciences.
C. University of Wisconsin–Milwaukee
The University of Wisconsin–Milwaukee is a major public research university in Milwaukee, Wisconsin, known for its diverse academic programs and urban campus serving a large student population.
D. National Center for Supercomputing Applications
The National Center for Supercomputing Applications is a leading U.S. research institution known for pioneering high-performance computing technologies and software, including early web browser development.
E. University City Science Center
The University City Science Center is a prominent urban research and technology innovation hub in Philadelphia that supports startups, academic partnerships, and commercialization of scientific advances.
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: Wisconsin Institutes for Discovery
Triple: [University of Wisconsin–Madison, hasFacility, Wisconsin Institutes for Discovery]

Generated description

The Wisconsin Institutes for Discovery is an interdisciplinary research and public engagement center at the University of Wisconsin–Madison that fosters collaboration across science, engineering, arts, and education.

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

Target entity: Wisconsin Institutes for Discovery
Target entity description: The Wisconsin Institutes for Discovery is an interdisciplinary research and public engagement center at the University of Wisconsin–Madison that fosters collaboration across science, engineering, arts, and education.

A. University of Wisconsin–Madison
The University of Wisconsin–Madison is a major public research university in Madison, Wisconsin, renowned for its strong academic programs, extensive research output, and flagship status within the University of Wisconsin System.
B. Beckman Institute for Advanced Science and Technology
The Beckman Institute for Advanced Science and Technology is a prominent interdisciplinary research center at the University of Illinois at Urbana-Champaign, known for pioneering work at the intersection of engineering, physical sciences, and life sciences.
C. University of Wisconsin–Milwaukee
The University of Wisconsin–Milwaukee is a major public research university in Milwaukee, Wisconsin, known for its diverse academic programs and urban campus serving a large student population.
D. National Center for Supercomputing Applications
The National Center for Supercomputing Applications is a leading U.S. research institution known for pioneering high-performance computing technologies and software, including early web browser development.
E. University City Science Center
The University City Science Center is a prominent urban research and technology innovation hub in Philadelphia that supports startups, academic partnerships, and commercialization of scientific advances.
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_69a4932779b881908688590d59c71900`	completed	March 1, 2026, 7:27 p.m.
NER	Named-entity recognition	`batch_69a49dc7d88c81909fe493ac57fd784e`	completed	March 1, 2026, 8:12 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69a5238addd48190a1f4f471715fccea`	completed	March 2, 2026, 5:43 a.m.
NEDg	Description generation	`batch_69a523e23f3c8190bfb414847e01a4ab`	completed	March 2, 2026, 5:45 a.m.
NED2	Entity disambiguation (via description)	`batch_69a5245ef7e48190b811fb9952ca5870`	completed	March 2, 2026, 5:47 a.m.

Created at: March 1, 2026, 7:35 p.m.