Triple

T8958739

Position	Surface form	Disambiguated ID	Type / Status
Subject	Loughborough University	`E213543`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	School of Architecture, Building and Civil Engineering The School of Architecture, Building and Civil Engineering is a leading academic department at Loughborough University specializing in architecture, construction, and civil engineering education and research.	`E769730`	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 Architecture, Building and Civil Engineering | Statement: [Loughborough University, hasFaculty, School of Architecture, Building and Civil Engineering]

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

Target entity: School of Architecture, Building and Civil Engineering
Context triple: [Loughborough University, hasFaculty, School of Architecture, Building and Civil Engineering]

A. School of Architecture, Civil and Environmental Engineering
The School of Architecture, Civil and Environmental Engineering is a major academic unit of EPFL that focuses on education and research in architecture, structural and civil engineering, and environmental systems.
B. School of Architecture and Built Environment
The School of Architecture and Built Environment is an academic unit of Robert Gordon University specializing in architecture, construction, and related built environment disciplines.
C. School of Architecture and the Built Environment
The School of Architecture and the Built Environment is a major KTH faculty specializing in architecture, urban planning, and sustainable development of the built environment.
D. School of Engineering and Architecture
The School of Engineering and Architecture is a faculty of the University of Bologna that offers interdisciplinary education and research in engineering disciplines and architectural studies.
E. School of Architecture, Design and the Built Environment
The School of Architecture, Design and the Built Environment is a faculty at Nottingham Trent University specializing in education and research in architecture, design disciplines, and the construction and management of the built environment.
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 Architecture, Building and Civil Engineering
Triple: [Loughborough University, hasFaculty, School of Architecture, Building and Civil Engineering]

Generated description

The School of Architecture, Building and Civil Engineering is a leading academic department at Loughborough University specializing in architecture, construction, and civil engineering education and research.

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

Target entity: School of Architecture, Building and Civil Engineering
Target entity description: The School of Architecture, Building and Civil Engineering is a leading academic department at Loughborough University specializing in architecture, construction, and civil engineering education and research.

A. School of Architecture, Civil and Environmental Engineering
The School of Architecture, Civil and Environmental Engineering is a major academic unit of EPFL that focuses on education and research in architecture, structural and civil engineering, and environmental systems.
B. School of Architecture and Built Environment
The School of Architecture and Built Environment is an academic unit of Robert Gordon University specializing in architecture, construction, and related built environment disciplines.
C. School of Architecture and the Built Environment
The School of Architecture and the Built Environment is a major KTH faculty specializing in architecture, urban planning, and sustainable development of the built environment.
D. School of Engineering and Architecture
The School of Engineering and Architecture is a faculty of the University of Bologna that offers interdisciplinary education and research in engineering disciplines and architectural studies.
E. School of Architecture, Design and the Built Environment
The School of Architecture, Design and the Built Environment is a faculty at Nottingham Trent University specializing in education and research in architecture, design disciplines, and the construction and management of the built environment.
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_69ca8399ad2081909f8fa41d4314c215`	completed	March 30, 2026, 2:07 p.m.
NER	Named-entity recognition	`batch_69cc672b12b48190a9d964f79b96d237`	completed	April 1, 2026, 12:30 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69cfc9430a8c819096e0df38c107d1bd`	completed	April 3, 2026, 2:05 p.m.
NEDg	Description generation	`batch_69cfcaabe06481908e4a1a20dc16906e`	completed	April 3, 2026, 2:11 p.m.
NED2	Entity disambiguation (via description)	`batch_69cfcb5d2be48190847967325f4c8f03`	completed	April 3, 2026, 2:14 p.m.

Created at: March 30, 2026, 7 p.m.