Triple

T15554835
Position Surface form Disambiguated ID Type / Status
Subject Ole Kirk Christiansen E370839 entity
Predicate workLocation P7 FINISHED
Object Billund E725078 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: Billund | Statement: [Ole Kirk Christiansen, workLocation, Billund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billund
Context triple: [Ole Kirk Christiansen, workLocation, Billund]
  • A. Billund chosen
    Billund is a Danish town best known as the birthplace of LEGO and home to the original LEGOLAND theme park.
  • B. Hellebæk
    Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
  • C. Billund Municipality
    Billund Municipality is an administrative region in Denmark best known for encompassing the town of Billund, home to the original LEGOLAND and the headquarters of the LEGO Group.
  • D. Padborg
    Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
  • E. Skanderborg
    Skanderborg is a Danish town in Jutland known for its lakeside setting and annual music festival, Smukfest.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a96c0c88190808f68601a36b506 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f2f229081908faf15f9d8efecbf completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:09 a.m.