Triple

T234448

Position	Surface form	Disambiguated ID	Type / Status
Subject	School of Arts and Humanities, University of Cambridge	`E4477`	entity
Predicate	hasUnit	`P35`	FINISHED
Object	Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.	`E33011`	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 Modern and Medieval Languages and Linguistics, University of Cambridge | Statement: [School of Arts and Humanities, University of Cambridge, hasUnit, Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge]

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

Target entity: Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge
Context triple: [School of Arts and Humanities, University of Cambridge, hasUnit, Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge]

A. School of Arts and Humanities, University of Cambridge
The School of Arts and Humanities at the University of Cambridge is a major academic division encompassing a wide range of disciplines in the humanities, including languages, literature, history, philosophy, and related fields.
B. Faculty of History, University of Cambridge
The Faculty of History at the University of Cambridge is a leading academic department renowned for its wide-ranging historical research and teaching, spanning periods from ancient to contemporary history.
C. Murray Edwards College, Cambridge
Murray Edwards College, Cambridge is a women-only constituent college of the University of Cambridge, known for its modernist architecture and focus on promoting women's education and leadership.
D. Sidney Sussex College, Cambridge
Sidney Sussex College, Cambridge is a constituent college of the University of Cambridge, known for its historic architecture, academic excellence, and notable alumni including Oliver Cromwell.
E. Faculty of Mathematics, University of Cambridge
The Faculty of Mathematics at the University of Cambridge is a leading academic division renowned worldwide for its research and teaching in pure and applied mathematics, statistics, and 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 Modern and Medieval Languages and Linguistics, University of Cambridge
Triple: [School of Arts and Humanities, University of Cambridge, hasUnit, Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge]

Generated description

The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.

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

Target entity: Faculty of Modern and Medieval Languages and Linguistics, University of Cambridge
Target entity description: The Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge is a leading academic division specializing in the study and research of European and global languages, their literatures, cultures, and linguistic structures.

A. School of Arts and Humanities, University of Cambridge
The School of Arts and Humanities at the University of Cambridge is a major academic division encompassing a wide range of disciplines in the humanities, including languages, literature, history, philosophy, and related fields.
B. Faculty of History, University of Cambridge
The Faculty of History at the University of Cambridge is a leading academic department renowned for its wide-ranging historical research and teaching, spanning periods from ancient to contemporary history.
C. Murray Edwards College, Cambridge
Murray Edwards College, Cambridge is a women-only constituent college of the University of Cambridge, known for its modernist architecture and focus on promoting women's education and leadership.
D. Sidney Sussex College, Cambridge
Sidney Sussex College, Cambridge is a constituent college of the University of Cambridge, known for its historic architecture, academic excellence, and notable alumni including Oliver Cromwell.
E. Faculty of Mathematics, University of Cambridge
The Faculty of Mathematics at the University of Cambridge is a leading academic division renowned worldwide for its research and teaching in pure and applied mathematics, statistics, and 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_69a257363ffc81909757bde7ab3404da`	completed	Feb. 28, 2026, 2:47 a.m.
NER	Named-entity recognition	`batch_69a25cc9ab2c81909af278a07f86aa1e`	completed	Feb. 28, 2026, 3:11 a.m.
NED1	Entity disambiguation (via context triple)	`batch_69a3765a652081909164489d1e3e39f6`	completed	Feb. 28, 2026, 11:12 p.m.
NEDg	Description generation	`batch_69a37819afcc81909621442ca98a9baa`	completed	Feb. 28, 2026, 11:19 p.m.
NED2	Entity disambiguation (via description)	`batch_69a378b9dc54819096a1d0899e8d8b92`	completed	Feb. 28, 2026, 11:22 p.m.

Created at: Feb. 28, 2026, 2:53 a.m.