Triple

T3464134

Position	Surface form	Disambiguated ID	Type / Status
Subject	Delft University of Technology	`E73094`	entity
Predicate	hasFaculty	`P141`	FINISHED
Object	Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science is a major academic division of Delft University of Technology specializing in research and education in electrical engineering, applied mathematics, and computer science.	`E358282`	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: Faculty of Electrical Engineering, Mathematics and Computer Science | Statement: [Delft University of Technology, hasFaculty, Faculty of Electrical Engineering, Mathematics and Computer Science]

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

Target entity: Faculty of Electrical Engineering, Mathematics and Computer Science
Context triple: [Delft University of Technology, hasFaculty, Faculty of Electrical Engineering, Mathematics and Computer Science]

A. Faculty of Electrical Engineering and Computer Science
The Faculty of Electrical Engineering and Computer Science is a major academic division of Leibniz University Hannover specializing in education and research in electrical engineering, computer science, and related technologies.
B. Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is a leading academic unit at the Technion – Israel Institute of Technology, specializing in education and research in electrical engineering, computer engineering, and related technologies.
C. Faculty of Electronics and Computer Engineering
The Faculty of Electronics and Computer Engineering is an academic division of Volgograd State Technical University specializing in education and research in electronics, computer engineering, and related technologies.
D. Faculty of Mathematics/Computer Science and Mechanical Engineering
The Faculty of Mathematics/Computer Science and Mechanical Engineering is an academic division of Clausthal University of Technology that combines theoretical and applied disciplines in mathematics, computing, and mechanical engineering education and research.
E. Faculty of Engineering and Computer Science
The Faculty of Engineering and Computer Science at the University of Victoria is an academic division offering engineering and computing programs, research, and professional training in technology-related 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: Faculty of Electrical Engineering, Mathematics and Computer Science
Triple: [Delft University of Technology, hasFaculty, Faculty of Electrical Engineering, Mathematics and Computer Science]

Generated description

The Faculty of Electrical Engineering, Mathematics and Computer Science is a major academic division of Delft University of Technology specializing in research and education in electrical engineering, applied mathematics, and computer science.

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

Target entity: Faculty of Electrical Engineering, Mathematics and Computer Science
Target entity description: The Faculty of Electrical Engineering, Mathematics and Computer Science is a major academic division of Delft University of Technology specializing in research and education in electrical engineering, applied mathematics, and computer science.

A. Faculty of Electrical Engineering and Computer Science
The Faculty of Electrical Engineering and Computer Science is a major academic division of Leibniz University Hannover specializing in education and research in electrical engineering, computer science, and related technologies.
B. Faculty of Electrical and Computer Engineering
The Faculty of Electrical and Computer Engineering is a leading academic unit at the Technion – Israel Institute of Technology, specializing in education and research in electrical engineering, computer engineering, and related technologies.
C. Faculty of Electronics and Computer Engineering
The Faculty of Electronics and Computer Engineering is an academic division of Volgograd State Technical University specializing in education and research in electronics, computer engineering, and related technologies.
D. Faculty of Mathematics/Computer Science and Mechanical Engineering
The Faculty of Mathematics/Computer Science and Mechanical Engineering is an academic division of Clausthal University of Technology that combines theoretical and applied disciplines in mathematics, computing, and mechanical engineering education and research.
E. Faculty of Engineering and Computer Science
The Faculty of Engineering and Computer Science at the University of Victoria is an academic division offering engineering and computing programs, research, and professional training in technology-related 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_69ad85b224d481908ff8be51338d24ff`	completed	March 8, 2026, 2:20 p.m.
NER	Named-entity recognition	`batch_69adbb0dc100819084bb0c355c7bb15b`	completed	March 8, 2026, 6:08 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69b3612720308190b5a0d943a754883f`	completed	March 13, 2026, 12:58 a.m.
NEDg	Description generation	`batch_69b361c3f7508190aacfc24528546614`	completed	March 13, 2026, 1 a.m.
NED2	Entity disambiguation (via description)	`batch_69b3624afd088190883f14c1b17421af`	completed	March 13, 2026, 1:03 a.m.

Created at: March 8, 2026, 3:17 p.m.