Triple

T13670774
Position Surface form Disambiguated ID Type / Status
Subject Jørgen Christensen-Dalsgaard E327741 entity
Predicate employer P7 FINISHED
Object Aarhus University E60454 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: Aarhus University | Statement: [Jørgen Christensen-Dalsgaard, employer, Aarhus University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarhus University
Context triple: [Jørgen Christensen-Dalsgaard, employer, Aarhus University]
  • A. Aarhus University chosen
    Aarhus University is a major Danish public research university recognized for its strong international profile and membership in leading European academic networks.
  • B. 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.
  • C. Roskilde University
    Roskilde University is a Danish public university known for its interdisciplinary, problem-oriented learning approach and strong emphasis on project-based education and social sciences.
  • D. 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.
  • E. University of Copenhagen
    The University of Copenhagen is Denmark’s oldest and largest university, renowned internationally for its research-intensive programs and broad range of academic disciplines.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6599c248190b7f134b5b9947a23 completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd54f748d481909661deb151da34c1 completed May 8, 2026, 3:13 a.m.
Created at: April 9, 2026, 9:53 p.m.