Triple

T19816782
Position Surface form Disambiguated ID Type / Status
Subject Hvidovre E476077 entity
Predicate borderedBy P224 FINISHED
Object Vallensbæk Municipality 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: Vallensbæk Municipality | Statement: [Hvidovre, borderedBy, Vallensbæk Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vallensbæk Municipality
Context triple: [Hvidovre, borderedBy, Vallensbæk Municipality]
  • A. Vallensbæk Municipality chosen
    Vallensbæk Municipality is a suburban municipality in the Capital Region of Denmark, located southwest of central Copenhagen.
  • B. Gentofte Municipality
    Gentofte Municipality is a suburban municipality just north of central Copenhagen, Denmark, known for its affluent residential areas, green spaces, and coastal location along the Øresund.
  • C. Egedal Municipality
    Egedal Municipality is a local government area in eastern Denmark known for its suburban communities, green spaces, and proximity to Copenhagen.
  • D. Hvidovre Municipality
    Hvidovre Municipality is a suburban municipality in the Copenhagen metropolitan area of eastern Denmark, known for its residential neighborhoods and proximity to the capital.
  • E. Hørsholm Municipality
    Hørsholm Municipality is a suburban municipality in eastern Denmark, located north of Copenhagen along the Øresund coast and known for its affluent residential areas and green surroundings.
  • 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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f9c5b08190987237f5144c3b37 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.