Triple

T3588942

Position	Surface form	Disambiguated ID	Type / Status
Subject	College of Letters and Science (University of Wisconsin–Madison)	`E75977`	entity
Predicate	hasAcademicUnit	`P1488`	FINISHED
Object	Department of French and Italian (University of Wisconsin–Madison) The Department of French and Italian at the University of Wisconsin–Madison is an academic department dedicated to the study and teaching of French and Italian languages, literatures, and cultures.	`E371649`	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: Department of French and Italian (University of Wisconsin–Madison) | Statement: [College of Letters and Science (University of Wisconsin–Madison), hasAcademicUnit, Department of French and Italian (University of Wisconsin–Madison)]

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

Target entity: Department of French and Italian (University of Wisconsin–Madison)
Context triple: [College of Letters and Science (University of Wisconsin–Madison), hasAcademicUnit, Department of French and Italian (University of Wisconsin–Madison)]

A. Department of Romance Languages and Literatures at Harvard University
The Department of Romance Languages and Literatures at Harvard University is an academic department dedicated to the study, teaching, and research of Romance languages, literatures, and cultures such as French, Italian, Portuguese, and Spanish.
B. Indiana University Department of Comparative Literature
The Indiana University Department of Comparative Literature is an academic department at Indiana University known for its interdisciplinary study of literature across languages, cultures, and media, and for having included prominent scholars such as Douglas Hofstadter among its faculty.
C. University of Parma
The University of Parma is one of Italy’s oldest universities, a historic higher education institution located in the city of Parma in the Emilia-Romagna region.
D. University of Florence
The University of Florence is a major Italian public research university in Florence, renowned for its historical roots in the Renaissance and its broad range of academic disciplines.
E. Department of Modern Languages and Literatures
The Department of Modern Languages and Literatures is an academic unit that offers instruction and research in contemporary world languages, literatures, and cultures.
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: Department of French and Italian (University of Wisconsin–Madison)
Triple: [College of Letters and Science (University of Wisconsin–Madison), hasAcademicUnit, Department of French and Italian (University of Wisconsin–Madison)]

Generated description

The Department of French and Italian at the University of Wisconsin–Madison is an academic department dedicated to the study and teaching of French and Italian languages, literatures, and cultures.

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

Target entity: Department of French and Italian (University of Wisconsin–Madison)
Target entity description: The Department of French and Italian at the University of Wisconsin–Madison is an academic department dedicated to the study and teaching of French and Italian languages, literatures, and cultures.

A. Department of Romance Languages and Literatures at Harvard University
The Department of Romance Languages and Literatures at Harvard University is an academic department dedicated to the study, teaching, and research of Romance languages, literatures, and cultures such as French, Italian, Portuguese, and Spanish.
B. Indiana University Department of Comparative Literature
The Indiana University Department of Comparative Literature is an academic department at Indiana University known for its interdisciplinary study of literature across languages, cultures, and media, and for having included prominent scholars such as Douglas Hofstadter among its faculty.
C. University of Parma
The University of Parma is one of Italy’s oldest universities, a historic higher education institution located in the city of Parma in the Emilia-Romagna region.
D. University of Florence
The University of Florence is a major Italian public research university in Florence, renowned for its historical roots in the Renaissance and its broad range of academic disciplines.
E. Department of Modern Languages and Literatures
The Department of Modern Languages and Literatures is an academic unit that offers instruction and research in contemporary world languages, literatures, and cultures.
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_69ad85d6dc3c8190b491b79b83e25461`	completed	March 8, 2026, 2:21 p.m.
NER	Named-entity recognition	`batch_69adc13b2970819084181425b01f9595`	completed	March 8, 2026, 6:34 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69b40304a2e08190bcf25ddaf2bc5a2a`	completed	March 13, 2026, 12:28 p.m.
NEDg	Description generation	`batch_69b406f095488190b4543fa8008fe86c`	completed	March 13, 2026, 12:45 p.m.
NED2	Entity disambiguation (via description)	`batch_69b40872099c81909bc3531bea77f875`	completed	March 13, 2026, 12:52 p.m.

Created at: March 8, 2026, 3:22 p.m.