Triple

T10095881
Position Surface form Disambiguated ID Type / Status
Subject Technical University of Denmark E215863 entity
Predicate affiliation P10 FINISHED
Object Ministry of Higher Education and Science of Denmark E629604 NE FINISHED

How this triple was built (2 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: Ministry of Higher Education and Science of Denmark | Statement: [Technical University of Denmark, affiliation, Ministry of Higher Education and Science of Denmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ministry of Higher Education and Science of Denmark
Context triple: [Technical University of Denmark, affiliation, Ministry of Higher Education and Science of Denmark]
  • A. Ministry of Higher Education and Science of Denmark chosen
    The Ministry of Higher Education and Science of Denmark is the national government body responsible for formulating and overseeing policies in higher education, research, and scientific innovation across Denmark.
  • B. University of Southern Denmark
    The University of Southern Denmark is a major Danish public research university with multiple campuses, known for its strong international orientation and broad range of academic programs.
  • 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. Aalborg University
    Aalborg University is a Danish public research university known for its problem-based learning approach and campuses in Aalborg and other cities in Denmark.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca83a4947c8190823a7495dc5d96ed completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd0798c248190af675e30e280daa8 completed April 2, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b6b8d604819094db099981219e72 completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:02 p.m.