Triple

T15568648
Position Surface form Disambiguated ID Type / Status
Subject University of Aveiro E374180 entity
Predicate hasSchool P113 FINISHED
Object Department of Social, Political and Territorial Sciences
The Department of Social, Political and Territorial Sciences is an academic unit at the University of Aveiro focused on teaching and research in the social sciences, political studies, and spatial or territorial analysis.
E1164903 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 Social, Political and Territorial Sciences | Statement: [University of Aveiro, hasSchool, Department of Social, Political and Territorial Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Social, Political and Territorial Sciences
Context triple: [University of Aveiro, hasSchool, Department of Social, Political and Territorial Sciences]
  • A. Department of Political and Social Sciences
    The Department of Political and Social Sciences is an academic unit at the University of Trieste dedicated to teaching and research in political science, sociology, and related social science disciplines.
  • B. Department of Political and Social Sciences
    The Department of Political and Social Sciences is an academic division of the Free University of Berlin specializing in research and teaching on politics, sociology, and related social science disciplines.
  • C. Faculty of Political Science and Sociology
    The Faculty of Political Science and Sociology is an academic division of the Complutense University of Madrid specializing in the study and research of politics, public administration, and social sciences.
  • D. Department of Social, Political and Cognitive Sciences
    The Department of Social, Political and Cognitive Sciences is an academic unit at the University of Siena that focuses on interdisciplinary teaching and research in the social sciences, political studies, and cognitive sciences.
  • E. School of Sociology and Political Science
    The School of Sociology and Political Science is an academic unit specializing in the study and research of social structures, political systems, and related public issues.
  • 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 Social, Political and Territorial Sciences
Triple: [University of Aveiro, hasSchool, Department of Social, Political and Territorial Sciences]
Generated description
The Department of Social, Political and Territorial Sciences is an academic unit at the University of Aveiro focused on teaching and research in the social sciences, political studies, and spatial or territorial analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Social, Political and Territorial Sciences
Target entity description: The Department of Social, Political and Territorial Sciences is an academic unit at the University of Aveiro focused on teaching and research in the social sciences, political studies, and spatial or territorial analysis.
  • A. Department of Political and Social Sciences
    The Department of Political and Social Sciences is an academic unit at the University of Trieste dedicated to teaching and research in political science, sociology, and related social science disciplines.
  • B. Department of Political and Social Sciences
    The Department of Political and Social Sciences is an academic division of the Free University of Berlin specializing in research and teaching on politics, sociology, and related social science disciplines.
  • C. Faculty of Political Science and Sociology
    The Faculty of Political Science and Sociology is an academic division of the Complutense University of Madrid specializing in the study and research of politics, public administration, and social sciences.
  • D. Department of Social, Political and Cognitive Sciences
    The Department of Social, Political and Cognitive Sciences is an academic unit at the University of Siena that focuses on interdisciplinary teaching and research in the social sciences, political studies, and cognitive sciences.
  • E. School of Sociology and Political Science
    The School of Sociology and Political Science is an academic unit specializing in the study and research of social structures, political systems, and related public issues.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4440a481909699a7eee25a4b24 completed May 9, 2026, 3:01 p.m.
NEDg Description generation batch_69ff4f27c7b08190bbe2d64eef0610f8 completed May 9, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_69ff4fc4223c8190a3dd7a6853258791 completed May 9, 2026, 3:16 p.m.
Created at: April 10, 2026, 4:10 a.m.