Triple

T6023106
Position Surface form Disambiguated ID Type / Status
Subject Peter Naur E134109 entity
Predicate employer P7 FINISHED
Object Technical University of Denmark 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: Technical University of Denmark | Statement: [Peter Naur, employer, Technical University of Denmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Technical University of Denmark
Context triple: [Peter Naur, employer, Technical University of Denmark]
  • 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. 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. Norwegian University of Science and Technology
    The Norwegian University of Science and Technology is a major Norwegian public research university renowned for its strengths in science, technology, engineering, and innovation.
  • D. 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.
  • E. Chalmers University of Technology
    Chalmers University of Technology is a prominent Swedish university specializing in engineering, technology, and natural sciences.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fbd7978819085d683578bc62aa3 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11ce9ea008190bc9056ee1822fd0f completed March 23, 2026, 10:58 a.m.
Created at: March 22, 2026, 4:07 p.m.