Triple

T13552156
Position Surface form Disambiguated ID Type / Status
Subject Aarhus University E323675 entity
Predicate nativeName P15 FINISHED
Object Aarhus Universitet 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 Universitet | Statement: [Aarhus University, nativeName, Aarhus Universitet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarhus Universitet
Context triple: [Aarhus University, nativeName, Aarhus Universitet]
  • 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. 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.
  • D. 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.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff0a6548190b8cde5084cef0061 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794281fb48190882f164df1def07e completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:46 p.m.