Triple

T8298449

Position	Surface form	Disambiguated ID	Type / Status
Subject	University of Texas at Arlington	`E194282`	entity
Predicate	hasCollege	`P113`	FINISHED
Object	College of Architecture, Planning and Public Affairs The College of Architecture, Planning and Public Affairs is a professional school at the University of Texas at Arlington that offers programs in architecture, urban planning, public policy, and related fields focused on the built environment and civic leadership.	`E724482`	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: College of Architecture, Planning and Public Affairs | Statement: [University of Texas at Arlington, hasCollege, College of Architecture, Planning and Public Affairs]

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

Target entity: College of Architecture, Planning and Public Affairs
Context triple: [University of Texas at Arlington, hasCollege, College of Architecture, Planning and Public Affairs]

A. College of Architecture + Planning
The College of Architecture + Planning is the University of Utah’s academic unit dedicated to education and research in architecture, urban planning, and related design disciplines.
B. College of Architecture and Planning
The College of Architecture and Planning is Ball State University's professional school dedicated to architecture, urban planning, landscape architecture, and related design disciplines.
C. College of Architecture and Urban Planning
The College of Architecture and Urban Planning is a leading Chinese academic institution renowned for its programs and research in architecture, urban design, and city planning.
D. College of Architecture, Art, and Planning
The College of Architecture, Art, and Planning is Cornell University's renowned design and planning school, offering professional and creative programs in architecture, fine arts, and urban and regional planning.
E. College of Design, Construction and Planning
The College of Design, Construction and Planning is a professional school at the University of Florida that focuses on disciplines such as architecture, construction management, urban and regional planning, and related built-environment fields.
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: College of Architecture, Planning and Public Affairs
Triple: [University of Texas at Arlington, hasCollege, College of Architecture, Planning and Public Affairs]

Generated description

The College of Architecture, Planning and Public Affairs is a professional school at the University of Texas at Arlington that offers programs in architecture, urban planning, public policy, and related fields focused on the built environment and civic leadership.

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

Target entity: College of Architecture, Planning and Public Affairs
Target entity description: The College of Architecture, Planning and Public Affairs is a professional school at the University of Texas at Arlington that offers programs in architecture, urban planning, public policy, and related fields focused on the built environment and civic leadership.

A. College of Architecture + Planning
The College of Architecture + Planning is the University of Utah’s academic unit dedicated to education and research in architecture, urban planning, and related design disciplines.
B. College of Architecture and Planning
The College of Architecture and Planning is Ball State University's professional school dedicated to architecture, urban planning, landscape architecture, and related design disciplines.
C. College of Architecture and Urban Planning
The College of Architecture and Urban Planning is a leading Chinese academic institution renowned for its programs and research in architecture, urban design, and city planning.
D. College of Architecture, Art, and Planning
The College of Architecture, Art, and Planning is Cornell University's renowned design and planning school, offering professional and creative programs in architecture, fine arts, and urban and regional planning.
E. College of Design, Construction and Planning
The College of Design, Construction and Planning is a professional school at the University of Florida that focuses on disciplines such as architecture, construction management, urban and regional planning, and related built-environment fields.
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_69ca82e50ebc81909aa7b260c76bd757`	completed	March 30, 2026, 2:04 p.m.
NER	Named-entity recognition	`batch_69cb7dfa040c8190ab801b3910e39142`	completed	March 31, 2026, 7:55 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cd68b6ad30819090d34d8e79cee634`	completed	April 1, 2026, 6:49 p.m.
NEDg	Description generation	`batch_69cd6d574ba88190a2538897d201d8c4`	completed	April 1, 2026, 7:09 p.m.
NED2	Entity disambiguation (via description)	`batch_69cd7e536724819095ad006bc0f013a4`	completed	April 1, 2026, 8:21 p.m.

Created at: March 30, 2026, 5:53 p.m.