Triple

T10098107

Position	Surface form	Disambiguated ID	Type / Status
Subject	Faculty of Science, Engineering and Medicine	`E215925`	entity
Predicate	hasPart	`P35`	FINISHED
Object	School of Engineering, University of Warwick The School of Engineering at the University of Warwick is a leading UK engineering department offering interdisciplinary teaching and research across areas such as mechanical, civil, electrical, and systems engineering.	`E840020`	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 Engineering, University of Warwick | Statement: [Faculty of Science, Engineering and Medicine, hasPart, School of Engineering, University of Warwick]

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

Target entity: School of Engineering, University of Warwick
Context triple: [Faculty of Science, Engineering and Medicine, hasPart, School of Engineering, University of Warwick]

A. Department of Engineering, University of Bristol
The Department of Engineering at the University of Bristol is a major academic division renowned for its research and teaching across multiple engineering disciplines, continuing a long regional tradition of technical and engineering education.
B. University of Warwick
The University of Warwick is a leading public research university in Coventry, England, renowned for its strong academic reputation, innovative research, and highly ranked programs across disciplines such as economics, business, and the sciences.
C. Council of the University of Warwick
The Council of the University of Warwick is the university’s supreme governing body, responsible for overall strategic direction, financial oversight, and institutional governance.
D. School of Engineering, University of Edinburgh
The School of Engineering at the University of Edinburgh is a major academic unit offering research-led education and innovation across multiple engineering disciplines within one of Scotland’s leading universities.
E. Department of Engineering, University of Cambridge
The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
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 Engineering, University of Warwick
Triple: [Faculty of Science, Engineering and Medicine, hasPart, School of Engineering, University of Warwick]

Generated description

The School of Engineering at the University of Warwick is a leading UK engineering department offering interdisciplinary teaching and research across areas such as mechanical, civil, electrical, and systems engineering.

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

Target entity: School of Engineering, University of Warwick
Target entity description: The School of Engineering at the University of Warwick is a leading UK engineering department offering interdisciplinary teaching and research across areas such as mechanical, civil, electrical, and systems engineering.

A. Department of Engineering, University of Bristol
The Department of Engineering at the University of Bristol is a major academic division renowned for its research and teaching across multiple engineering disciplines, continuing a long regional tradition of technical and engineering education.
B. University of Warwick
The University of Warwick is a leading public research university in Coventry, England, renowned for its strong academic reputation, innovative research, and highly ranked programs across disciplines such as economics, business, and the sciences.
C. Council of the University of Warwick
The Council of the University of Warwick is the university’s supreme governing body, responsible for overall strategic direction, financial oversight, and institutional governance.
D. School of Engineering, University of Edinburgh
The School of Engineering at the University of Edinburgh is a major academic unit offering research-led education and innovation across multiple engineering disciplines within one of Scotland’s leading universities.
E. Department of Engineering, University of Cambridge
The Department of Engineering at the University of Cambridge is one of the world’s leading engineering schools, renowned for its cutting-edge research, broad range of engineering disciplines, and rigorous undergraduate and postgraduate programs.
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_69ca83a4947c8190823a7495dc5d96ed`	completed	March 30, 2026, 2:07 p.m.
NER	Named-entity recognition	`batch_69cdd07c0e248190b4ab450e0b83ea0c`	completed	April 2, 2026, 2:12 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69d2b6c218b08190853b0979296e2f83`	completed	April 5, 2026, 7:23 p.m.
NEDg	Description generation	`batch_69d2b790cc188190b5c16c89beaa8aca`	completed	April 5, 2026, 7:27 p.m.
NED2	Entity disambiguation (via description)	`batch_69d2b81e7b948190baa417186aac284b`	completed	April 5, 2026, 7:29 p.m.

Created at: March 30, 2026, 9:02 p.m.