Triple

T539929
Position Surface form Disambiguated ID Type / Status
Subject Copenhagen E12606 entity
Predicate mayorSeatOf P10603 FINISHED
Object Copenhagen Municipality E12606 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: Copenhagen Municipality | Statement: [Copenhagen, mayorSeatOf, Copenhagen Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Copenhagen Municipality
Context triple: [Copenhagen, mayorSeatOf, Copenhagen Municipality]
  • A. Copenhagen chosen
    Copenhagen is the capital and largest city of Denmark, known for its historic architecture, vibrant cultural scene, and high quality of life.
  • B. Herning
    Herning is a Danish city in the Central Jutland region known for its trade fairs, conference facilities, and vibrant cultural and sports events.
  • C. Amager Island
    Amager Island is a Danish island in the Øresund Strait that forms a significant part of Copenhagen’s urban area and hosts both residential districts and Copenhagen Airport.
  • D. Oslo City Council
    Oslo City Council is the elected municipal legislature responsible for setting policies, budgets, and regulations for the city of Oslo, Norway.
  • E. Danderyd Municipality
    Danderyd Municipality is a small, affluent suburban municipality in the Stockholm metropolitan area of Sweden, known for its high standard of living and residential character.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4d0403b248190a94b44b6073c500b completed March 1, 2026, 11:48 p.m.
Created at: March 1, 2026, 7:32 p.m.