Triple

T17373098
Position Surface form Disambiguated ID Type / Status
Subject Mette Frederiksen E422364 entity
Predicate educatedAt P5 FINISHED
Object Aalborg University E710327 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: Aalborg University | Statement: [Mette Frederiksen, educatedAt, Aalborg University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aalborg University
Context triple: [Mette Frederiksen, educatedAt, Aalborg University]
  • A. Aalborg University chosen
    Aalborg University is a Danish public research university known for its problem-based learning approach and campuses in Aalborg and other cities in Denmark.
  • B. Aarhus University
    Aarhus University is a major Danish public research university recognized for its strong international profile and membership in leading European academic networks.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6a9ec881908bfe49413826d37e completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01a7ed9e988190a60106a1a0f94210 completed May 11, 2026, 9:57 a.m.
Created at: April 10, 2026, 5:44 a.m.