Triple

T18927142
Position Surface form Disambiguated ID Type / Status
Subject Guldborgsund Municipality E463002 entity
Predicate containsSettlement P847 FINISHED
Object Nørre Alslev 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: Nørre Alslev | Statement: [Guldborgsund Municipality, containsSettlement, Nørre Alslev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nørre Alslev
Context triple: [Guldborgsund Municipality, containsSettlement, Nørre Alslev]
  • A. Nørre Alslev Municipality chosen
    Nørre Alslev Municipality was a former Danish local government area on the island of Falster that was merged into the larger Guldborgsund Municipality during the 2007 municipal reform.
  • B. Brønderslev
    Brønderslev is a town in northern Jutland, Denmark, known as a local commercial and administrative center surrounded by agricultural countryside.
  • C. Årslev
    Årslev is a town in central Denmark located on the island of Funen within the Region of Southern Denmark.
  • D. Nørresundby
    Nørresundby is a town in northern Denmark situated across the Limfjord from Aalborg, forming part of the Aalborg metropolitan area.
  • E. Vollebæk
    Vollebæk is a Norwegian surname most notably associated with diplomat and former foreign minister Knut Vollebæk.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bc36588190ae9cc3b8abf8afd4 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.