Triple

T10095858
Position Surface form Disambiguated ID Type / Status
Subject Technical University of Denmark E215863 entity
Predicate shortName P43 FINISHED
Object DTU E215863 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: DTU | Statement: [Technical University of Denmark, shortName, DTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DTU
Context triple: [Technical University of Denmark, shortName, DTU]
  • A. Technical University of Denmark chosen
    The Technical University of Denmark is a leading Danish engineering and technology university known for its strong research output and industry collaboration.
  • 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. 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. 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_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_69d2cbeef9a08190a2267f6c7de81170 completed April 5, 2026, 8:54 p.m.
Created at: March 30, 2026, 9:02 p.m.