Triple

T9336049

Position	Surface form	Disambiguated ID	Type / Status
Subject	Institute of Psychology, University of Tartu	`E224645`	entity
Predicate	partOf	`P40`	FINISHED
Object	Faculty of Social Sciences, University of Tartu The Faculty of Social Sciences at the University of Tartu is an academic division that brings together disciplines such as psychology, sociology, political science, and related fields to conduct research and provide higher education in the social sciences.	`E798753`	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 Social Sciences, University of Tartu | Statement: [Institute of Psychology, University of Tartu, partOf, Faculty of Social Sciences, University of Tartu]

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

Target entity: Faculty of Social Sciences, University of Tartu
Context triple: [Institute of Psychology, University of Tartu, partOf, Faculty of Social Sciences, University of Tartu]

A. Faculty of Arts and Humanities of the University of Tartu
The Faculty of Arts and Humanities of the University of Tartu is a major academic division of Estonia’s leading university, encompassing disciplines such as languages, history, philosophy, and cultural studies.
B. Faculty of Science and Technology, University of Tartu
The Faculty of Science and Technology at the University of Tartu is a major academic division that encompasses a wide range of natural and exact sciences, engineering, and related research institutes within Estonia’s leading university.
C. Department of Geography, University of Tartu
The Department of Geography at the University of Tartu is an academic unit specializing in geographical research and education, covering areas such as physical and human geography, spatial planning, and geoinformatics.
D. University of Tartu
The University of Tartu is a leading research-intensive university in Estonia, renowned for its strong programs in the humanities, natural and social sciences, and its historic role in Baltic and Nordic higher education.
E. Tartu Health Care College
Tartu Health Care College is an Estonian higher education institution specializing in training health care and welfare professionals.
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 Social Sciences, University of Tartu
Triple: [Institute of Psychology, University of Tartu, partOf, Faculty of Social Sciences, University of Tartu]

Generated description

The Faculty of Social Sciences at the University of Tartu is an academic division that brings together disciplines such as psychology, sociology, political science, and related fields to conduct research and provide higher education in the social sciences.

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

Target entity: Faculty of Social Sciences, University of Tartu
Target entity description: The Faculty of Social Sciences at the University of Tartu is an academic division that brings together disciplines such as psychology, sociology, political science, and related fields to conduct research and provide higher education in the social sciences.

A. Faculty of Arts and Humanities of the University of Tartu
The Faculty of Arts and Humanities of the University of Tartu is a major academic division of Estonia’s leading university, encompassing disciplines such as languages, history, philosophy, and cultural studies.
B. Faculty of Science and Technology, University of Tartu
The Faculty of Science and Technology at the University of Tartu is a major academic division that encompasses a wide range of natural and exact sciences, engineering, and related research institutes within Estonia’s leading university.
C. Department of Geography, University of Tartu
The Department of Geography at the University of Tartu is an academic unit specializing in geographical research and education, covering areas such as physical and human geography, spatial planning, and geoinformatics.
D. University of Tartu
The University of Tartu is a leading research-intensive university in Estonia, renowned for its strong programs in the humanities, natural and social sciences, and its historic role in Baltic and Nordic higher education.
E. Tartu Health Care College
Tartu Health Care College is an Estonian higher education institution specializing in training health care and welfare professionals.
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_69ca84286fcc81909f6e7fd7a7e862a2`	completed	March 30, 2026, 2:09 p.m.
NER	Named-entity recognition	`batch_69cd37f031888190a90d263d225d163c`	completed	April 1, 2026, 3:21 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69d110165800819085d05101a84313d1`	completed	April 4, 2026, 1:20 p.m.
NEDg	Description generation	`batch_69d110bb55488190955c18087aceecb8`	completed	April 4, 2026, 1:23 p.m.
NED2	Entity disambiguation (via description)	`batch_69d11113db48819083a7da54f72326a6`	completed	April 4, 2026, 1:24 p.m.

Created at: March 30, 2026, 7:40 p.m.