Triple

T1136640
Position Surface form Disambiguated ID Type / Status
Subject Chemnitz University of Technology E23154 entity
Predicate memberOf P10 FINISHED
Object TU9 (former associate member / cooperation network of leading technical universities in Germany)
TU9 is a German alliance of leading technical universities that collaborates on research, education, and policy representation in engineering and the natural sciences.
E130720 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: TU9 (former associate member / cooperation network of leading technical universities in Germany) | Statement: [Chemnitz University of Technology, memberOf, TU9 (former associate member / cooperation network of leading technical universities in Germany)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TU9 (former associate member / cooperation network of leading technical universities in Germany)
Context triple: [Chemnitz University of Technology, memberOf, TU9 (former associate member / cooperation network of leading technical universities in Germany)]
  • A. Association of Independent Technological Universities
    The Association of Independent Technological Universities is a consortium of leading private, research-intensive science and engineering universities in the United States that collaborate on advancing technological education and innovation.
  • B. EuroTech Universities Alliance
    EuroTech Universities Alliance is a strategic partnership of leading European science and technology universities that collaborate on research, education, and innovation initiatives.
  • C. German Rectors' Conference
    The German Rectors' Conference is a voluntary association of state and state-recognized universities in Germany that represents their collective interests in higher education policy, research, and academic governance.
  • D. Technical University of Nuremberg (in development)
    The Technical University of Nuremberg (in development) is a planned German higher education institution focused on engineering, technology, and applied sciences in the city of Nuremberg.
  • E. Technical University of Berlin
    The Technical University of Berlin is a major research-intensive university in Germany known for its strong engineering, natural sciences, and technology programs.
  • 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: TU9 (former associate member / cooperation network of leading technical universities in Germany)
Triple: [Chemnitz University of Technology, memberOf, TU9 (former associate member / cooperation network of leading technical universities in Germany)]
Generated description
TU9 is a German alliance of leading technical universities that collaborates on research, education, and policy representation in engineering and the natural sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TU9 (former associate member / cooperation network of leading technical universities in Germany)
Target entity description: TU9 is a German alliance of leading technical universities that collaborates on research, education, and policy representation in engineering and the natural sciences.
  • A. Association of Independent Technological Universities
    The Association of Independent Technological Universities is a consortium of leading private, research-intensive science and engineering universities in the United States that collaborate on advancing technological education and innovation.
  • B. EuroTech Universities Alliance
    EuroTech Universities Alliance is a strategic partnership of leading European science and technology universities that collaborate on research, education, and innovation initiatives.
  • C. German Rectors' Conference
    The German Rectors' Conference is a voluntary association of state and state-recognized universities in Germany that represents their collective interests in higher education policy, research, and academic governance.
  • D. Technical University of Nuremberg (in development)
    The Technical University of Nuremberg (in development) is a planned German higher education institution focused on engineering, technology, and applied sciences in the city of Nuremberg.
  • E. Technical University of Berlin
    The Technical University of Berlin is a major research-intensive university in Germany known for its strong engineering, natural sciences, and technology programs.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc2450c481909b9264e170070326 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59ae5f20819093f8acc3ba7a6638 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5b5e2c688190a7d4998a3ed0f443 completed March 7, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_69ac5bb6e78c8190a34ecbc246f72ff6 completed March 7, 2026, 5:09 p.m.
Created at: March 1, 2026, 7:44 p.m.