Triple

T11326131

Position	Surface form	Disambiguated ID	Type / Status
Subject	School of Engineering, University of Warwick	`E268222`	entity
Predicate	hasParentOrganization	`P10`	FINISHED
Object	Faculty of Science, Engineering and Medicine, University of Warwick The Faculty of Science, Engineering and Medicine at the University of Warwick is an academic division that brings together the university’s science, engineering, and medical departments to coordinate teaching, research, and innovation across these disciplines.	`E919280`	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 Science, Engineering and Medicine, University of Warwick | Statement: [School of Engineering, University of Warwick, hasParentOrganization, Faculty of Science, Engineering and Medicine, University of Warwick]

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

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

A. 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.
B. Faculty of Social Sciences, University of Warwick
The Faculty of Social Sciences at the University of Warwick is an academic division that encompasses departments such as Economics and related disciplines focused on the study of society, politics, and human behavior.
C. Faculty of Arts, University of Warwick
The Faculty of Arts at the University of Warwick is an academic division encompassing humanities disciplines such as history, languages, literature, and related fields.
D. 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.
E. Social Sciences Faculty at University of Warwick
The Social Sciences Faculty at the University of Warwick is an academic division that brings together departments such as Warwick Business School and related disciplines focused on the study of society, economics, politics, and human behavior.
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 Science, Engineering and Medicine, University of Warwick
Triple: [School of Engineering, University of Warwick, hasParentOrganization, Faculty of Science, Engineering and Medicine, University of Warwick]

Generated description

The Faculty of Science, Engineering and Medicine at the University of Warwick is an academic division that brings together the university’s science, engineering, and medical departments to coordinate teaching, research, and innovation across these disciplines.

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

Target entity: Faculty of Science, Engineering and Medicine, University of Warwick
Target entity description: The Faculty of Science, Engineering and Medicine at the University of Warwick is an academic division that brings together the university’s science, engineering, and medical departments to coordinate teaching, research, and innovation across these disciplines.

A. 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.
B. Faculty of Social Sciences, University of Warwick
The Faculty of Social Sciences at the University of Warwick is an academic division that encompasses departments such as Economics and related disciplines focused on the study of society, politics, and human behavior.
C. Faculty of Arts, University of Warwick
The Faculty of Arts at the University of Warwick is an academic division encompassing humanities disciplines such as history, languages, literature, and related fields.
D. 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.
E. Social Sciences Faculty at University of Warwick
The Social Sciences Faculty at the University of Warwick is an academic division that brings together departments such as Warwick Business School and related disciplines focused on the study of society, economics, politics, and human behavior.
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_69d6aacb1f0881908c84a349fd1be047`	completed	April 8, 2026, 7:21 p.m.
NER	Named-entity recognition	`batch_69d7e9e2253881909518cad0f12ef612`	completed	April 9, 2026, 6:03 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69e52608b7348190875597513ca1a995`	completed	April 19, 2026, 6:59 p.m.
NEDg	Description generation	`batch_69e52c82b6108190aec9b6e9d726f803`	completed	April 19, 2026, 7:26 p.m.
NED2	Entity disambiguation (via description)	`batch_69e531c2a4b88190bb1efd57536bae9a`	completed	April 19, 2026, 7:49 p.m.

Created at: April 8, 2026, 9:32 p.m.