Triple

T8644379
Position Surface form Disambiguated ID Type / Status
Subject Department of History and Cultural Studies E204736 entity
Predicate partOf P40 FINISHED
Object humanities division of Free University of Berlin
The humanities division of the Free University of Berlin is an academic unit that encompasses disciplines such as history, cultural studies, languages, literature, and related fields within the university’s broader humanities framework.
E747878 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: humanities division of Free University of Berlin | Statement: [Department of History and Cultural Studies, partOf, humanities division of Free University of Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: humanities division of Free University of Berlin
Context triple: [Department of History and Cultural Studies, partOf, humanities division of Free University of Berlin]
  • A. humanities division of University of Vienna
    The humanities division of the University of Vienna is the overarching academic unit that encompasses disciplines such as languages, literature, history, philosophy, and cultural studies within the university.
  • B. Free University of Berlin
    The Free University of Berlin is a major public research university in Berlin, Germany, renowned for its strong emphasis on the humanities, social sciences, and international collaboration.
  • C. Union of German Academies of Sciences and Humanities
    The Union of German Academies of Sciences and Humanities is an umbrella organization that brings together Germany’s regional academies to coordinate and promote high-level research and scholarly collaboration across the sciences and humanities.
  • D. Social Science Research Centre, Berlin
    The Social Science Research Centre in Berlin is a prominent research institute dedicated to interdisciplinary studies in the social sciences, housed in a notable building by architect James Stirling.
  • E. Humboldt University of Berlin
    Humboldt University of Berlin is a prestigious public research university in Germany’s capital, renowned for its historic contributions to science and the humanities and for pioneering the modern research university model.
  • 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: humanities division of Free University of Berlin
Triple: [Department of History and Cultural Studies, partOf, humanities division of Free University of Berlin]
Generated description
The humanities division of the Free University of Berlin is an academic unit that encompasses disciplines such as history, cultural studies, languages, literature, and related fields within the university’s broader humanities framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: humanities division of Free University of Berlin
Target entity description: The humanities division of the Free University of Berlin is an academic unit that encompasses disciplines such as history, cultural studies, languages, literature, and related fields within the university’s broader humanities framework.
  • A. humanities division of University of Vienna
    The humanities division of the University of Vienna is the overarching academic unit that encompasses disciplines such as languages, literature, history, philosophy, and cultural studies within the university.
  • B. Free University of Berlin
    The Free University of Berlin is a major public research university in Berlin, Germany, renowned for its strong emphasis on the humanities, social sciences, and international collaboration.
  • C. Union of German Academies of Sciences and Humanities
    The Union of German Academies of Sciences and Humanities is an umbrella organization that brings together Germany’s regional academies to coordinate and promote high-level research and scholarly collaboration across the sciences and humanities.
  • D. Social Science Research Centre, Berlin
    The Social Science Research Centre in Berlin is a prominent research institute dedicated to interdisciplinary studies in the social sciences, housed in a notable building by architect James Stirling.
  • E. Humboldt University of Berlin
    Humboldt University of Berlin is a prestigious public research university in Germany’s capital, renowned for its historic contributions to science and the humanities and for pioneering the modern research university model.
  • 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_69ca834ca1c88190a11ffb0200342fac completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4798852881909c03c5eadf805e49 completed March 31, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc42922c819099a464d2e347dec4 completed April 2, 2026, 6:58 p.m.
NEDg Description generation batch_69cec03fa5dc8190bbfe40aa1a3b27c1 completed April 2, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69cec0cac51c8190962a23d53c1fb48b completed April 2, 2026, 7:17 p.m.
Created at: March 30, 2026, 6:28 p.m.