Triple

T22301535
Position Surface form Disambiguated ID Type / Status
Subject Crown Prince Carl of Denmark E551268 entity
Predicate placeOfBirth P1 FINISHED
Object Charlottenlund NE NERFINISHED

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: Charlottenlund | Statement: [Crown Prince Carl of Denmark, placeOfBirth, Charlottenlund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlottenlund
Context triple: [Crown Prince Carl of Denmark, placeOfBirth, Charlottenlund]
  • A. Charlottenlund chosen
    Charlottenlund is a suburban district north of central Copenhagen, Denmark, known for its affluent residential areas, coastal location, and historic royal palace and park.
  • B. Eskelunden
    Eskelunden is a large outdoor area in Aarhus, Denmark, used as the main site for major events and music festivals.
  • C. Dronninglund
    Dronninglund is a town in northern Denmark known for its historic castle and surrounding natural landscapes.
  • D. Frederiksværk
    Frederiksværk is a Danish town in North Zealand known for its historic industrial heritage and location between the Roskilde Fjord and Arresø lake.
  • E. Gentofte
    Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157245ee481909a7a3397de3ae355 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.