Triple

T1347805
Position Surface form Disambiguated ID Type / Status
Subject Jacob-und-Wilhelm-Grimm-Zentrum E28812 entity
Predicate partOf P40 FINISHED
Object Humboldt-Universität zu Berlin library system
The Humboldt-Universität zu Berlin library system is the comprehensive network of academic libraries serving Humboldt University, providing extensive research resources, study spaces, and information services across its campuses.
E154322 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: Humboldt-Universität zu Berlin library system | Statement: [Jacob-und-Wilhelm-Grimm-Zentrum, partOf, Humboldt-Universität zu Berlin library system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humboldt-Universität zu Berlin library system
Context triple: [Jacob-und-Wilhelm-Grimm-Zentrum, partOf, Humboldt-Universität zu Berlin library system]
  • A. Universitätsbibliothek Leipzig
    Universitätsbibliothek Leipzig is the main academic library system of Leipzig University, housing extensive research collections and providing scholarly services to students and faculty.
  • B. German National Library
    The German National Library is Germany’s central archival and bibliographic institution responsible for collecting, documenting, and providing access to all German and German-language publications.
  • C. Göttingen State and University Library
    Göttingen State and University Library is one of Germany’s largest and most important academic libraries, renowned for its extensive historical collections and central role in supporting research and teaching at the University of Göttingen.
  • D. Humboldt Library of Tegel
    The Humboldt Library of Tegel is a public library in Berlin’s Tegel district, known for its modern architecture and scenic location near Lake Tegel.
  • E. Staatsbibliothek zu Berlin
    The Staatsbibliothek zu Berlin is one of Germany’s largest and most important research libraries, renowned for its vast historical collections and scholarly resources.
  • 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: Humboldt-Universität zu Berlin library system
Triple: [Jacob-und-Wilhelm-Grimm-Zentrum, partOf, Humboldt-Universität zu Berlin library system]
Generated description
The Humboldt-Universität zu Berlin library system is the comprehensive network of academic libraries serving Humboldt University, providing extensive research resources, study spaces, and information services across its campuses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Humboldt-Universität zu Berlin library system
Target entity description: The Humboldt-Universität zu Berlin library system is the comprehensive network of academic libraries serving Humboldt University, providing extensive research resources, study spaces, and information services across its campuses.
  • A. Universitätsbibliothek Leipzig
    Universitätsbibliothek Leipzig is the main academic library system of Leipzig University, housing extensive research collections and providing scholarly services to students and faculty.
  • B. German National Library
    The German National Library is Germany’s central archival and bibliographic institution responsible for collecting, documenting, and providing access to all German and German-language publications.
  • C. Göttingen State and University Library
    Göttingen State and University Library is one of Germany’s largest and most important academic libraries, renowned for its extensive historical collections and central role in supporting research and teaching at the University of Göttingen.
  • D. Humboldt Library of Tegel
    The Humboldt Library of Tegel is a public library in Berlin’s Tegel district, known for its modern architecture and scenic location near Lake Tegel.
  • E. Staatsbibliothek zu Berlin
    The Staatsbibliothek zu Berlin is one of Germany’s largest and most important research libraries, renowned for its vast historical collections and scholarly resources.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2418e38819094683d6e1efc6e56 completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc639201c81908ed9c9ac37cd358f completed March 8, 2026, 12:43 a.m.
NEDg Description generation batch_69acc71a3e808190aecbb57a64f39b6b completed March 8, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69acc88e4ec08190945b366524b83088 completed March 8, 2026, 12:53 a.m.
Created at: March 1, 2026, 7:56 p.m.