Triple

T1034576

Position	Surface form	Disambiguated ID	Type / Status
Subject	Edinburgh Napier University	`E22330`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	School of Computing, Engineering and the Built Environment The School of Computing, Engineering and the Built Environment is an academic faculty of Edinburgh Napier University that offers technology, engineering, and built environment education and research.	`E122954`	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 Computing, Engineering and the Built Environment | Statement: [Edinburgh Napier University, hasFaculty, School of Computing, Engineering and the Built Environment]

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

Target entity: School of Computing, Engineering and the Built Environment
Context triple: [Edinburgh Napier University, hasFaculty, School of Computing, Engineering and the Built Environment]

A. School of Computing, Engineering and Built Environment
The School of Computing, Engineering and Built Environment is a faculty of Glasgow Caledonian University that delivers education and research in areas such as computer science, engineering disciplines, and the built environment.
B. School of Computing and Engineering
The School of Computing and Engineering is an academic unit of the University of Missouri–Kansas City that offers programs and research opportunities in computer science, information technology, and engineering disciplines.
C. School of Computing, Engineering and Physical Sciences
The School of Computing, Engineering and Physical Sciences is an academic faculty of the University of the West of Scotland that delivers teaching and research across technology, engineering disciplines, and the physical sciences.
D. College of Engineering, Computing and Cybernetics
The College of Engineering, Computing and Cybernetics is a faculty of the Australian National University that focuses on education and research in engineering, computer science, and cybernetics.
E. School of Engineering and Computer Science
The School of Engineering and Computer Science is an academic division of Baylor University that offers undergraduate and graduate programs in engineering, computer science, and related technological 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: School of Computing, Engineering and the Built Environment
Triple: [Edinburgh Napier University, hasFaculty, School of Computing, Engineering and the Built Environment]

Generated description

The School of Computing, Engineering and the Built Environment is an academic faculty of Edinburgh Napier University that offers technology, engineering, and built environment education and research.

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

Target entity: School of Computing, Engineering and the Built Environment
Target entity description: The School of Computing, Engineering and the Built Environment is an academic faculty of Edinburgh Napier University that offers technology, engineering, and built environment education and research.

A. School of Computing, Engineering and Built Environment
The School of Computing, Engineering and Built Environment is a faculty of Glasgow Caledonian University that delivers education and research in areas such as computer science, engineering disciplines, and the built environment.
B. School of Computing and Engineering
The School of Computing and Engineering is an academic unit of the University of Missouri–Kansas City that offers programs and research opportunities in computer science, information technology, and engineering disciplines.
C. School of Computing, Engineering and Physical Sciences
The School of Computing, Engineering and Physical Sciences is an academic faculty of the University of the West of Scotland that delivers teaching and research across technology, engineering disciplines, and the physical sciences.
D. College of Engineering, Computing and Cybernetics
The College of Engineering, Computing and Cybernetics is a faculty of the Australian National University that focuses on education and research in engineering, computer science, and cybernetics.
E. School of Engineering and Computer Science
The School of Engineering and Computer Science is an academic division of Baylor University that offers undergraduate and graduate programs in engineering, computer science, and related technological 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_69a493d848848190aed4011b34b2e8d3`	completed	March 1, 2026, 7:30 p.m.
NER	Named-entity recognition	`batch_69a4b814c16c8190ac4d20feecdadbae`	completed	March 1, 2026, 10:05 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69ac42990be88190aeda5ec08fce5288`	completed	March 7, 2026, 3:22 p.m.
NEDg	Description generation	`batch_69ac430384ec8190a307c895bb12a122`	completed	March 7, 2026, 3:23 p.m.
NED2	Entity disambiguation (via description)	`batch_69ac437b62bc8190abfb721c570b4768`	completed	March 7, 2026, 3:25 p.m.

Created at: March 1, 2026, 7:41 p.m.