Triple

T3418632
Position Surface form Disambiguated ID Type / Status
Subject Bjarne Stroustrup E72065 entity
Predicate memberOf P10 FINISHED
Object Academy of Technology, Sciences and Engineering (Denmark)
The Academy of Technology, Sciences and Engineering (Denmark) is a Danish learned society that brings together leading experts in engineering and the applied sciences, including prominent figures such as C++ creator Bjarne Stroustrup, to promote research, innovation and technological development.
E358067 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: Academy of Technology, Sciences and Engineering (Denmark) | Statement: [Bjarne Stroustrup, memberOf, Academy of Technology, Sciences and Engineering (Denmark)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academy of Technology, Sciences and Engineering (Denmark)
Context triple: [Bjarne Stroustrup, memberOf, Academy of Technology, Sciences and Engineering (Denmark)]
  • A. Technical University of Denmark
    The Technical University of Denmark is a leading Danish engineering and technology university known for its strong research output and industry collaboration.
  • B. Finnish Academy of Technical Sciences
    The Finnish Academy of Technical Sciences is a learned society in Finland that brings together leading experts and promotes excellence in engineering, technology, and applied sciences.
  • C. Aarhus University
    Aarhus University is a major Danish public research university recognized for its strong international profile and membership in leading European academic networks.
  • D. European Academy of Sciences and Arts
    The European Academy of Sciences and Arts is a transnational, interdisciplinary learned society that brings together leading scholars, scientists, artists, and public figures from across Europe to promote scientific and cultural exchange and address societal challenges.
  • E. Royal Danish Academy of Sciences and Letters
    The Royal Danish Academy of Sciences and Letters is a prestigious Danish learned society dedicated to advancing scientific and scholarly research across the natural sciences and humanities.
  • 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: Academy of Technology, Sciences and Engineering (Denmark)
Triple: [Bjarne Stroustrup, memberOf, Academy of Technology, Sciences and Engineering (Denmark)]
Generated description
The Academy of Technology, Sciences and Engineering (Denmark) is a Danish learned society that brings together leading experts in engineering and the applied sciences, including prominent figures such as C++ creator Bjarne Stroustrup, to promote research, innovation and technological development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Academy of Technology, Sciences and Engineering (Denmark)
Target entity description: The Academy of Technology, Sciences and Engineering (Denmark) is a Danish learned society that brings together leading experts in engineering and the applied sciences, including prominent figures such as C++ creator Bjarne Stroustrup, to promote research, innovation and technological development.
  • A. Technical University of Denmark
    The Technical University of Denmark is a leading Danish engineering and technology university known for its strong research output and industry collaboration.
  • B. Finnish Academy of Technical Sciences
    The Finnish Academy of Technical Sciences is a learned society in Finland that brings together leading experts and promotes excellence in engineering, technology, and applied sciences.
  • C. Aarhus University
    Aarhus University is a major Danish public research university recognized for its strong international profile and membership in leading European academic networks.
  • D. European Academy of Sciences and Arts
    The European Academy of Sciences and Arts is a transnational, interdisciplinary learned society that brings together leading scholars, scientists, artists, and public figures from across Europe to promote scientific and cultural exchange and address societal challenges.
  • E. Royal Danish Academy of Sciences and Letters
    The Royal Danish Academy of Sciences and Letters is a prestigious Danish learned society dedicated to advancing scientific and scholarly research across the natural sciences and humanities.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92df1e48190bbf22a47e44579f1 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3546e710c8190a6b9523b77f6c893 completed March 13, 2026, 12:03 a.m.
NEDg Description generation batch_69b3584f321c8190841a96be2a6713e1 completed March 13, 2026, 12:20 a.m.
NED2 Entity disambiguation (via description) batch_69b3591b7bc88190825dcd306541ae03 completed March 13, 2026, 12:23 a.m.
Created at: March 8, 2026, 3:15 p.m.