Triple

T14615604
Position Surface form Disambiguated ID Type / Status
Subject Kongens Nytorv E343077 entity
Predicate hasDanishName P58114 FINISHED
Object Kongens Nytorv E343077 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: Kongens Nytorv | Statement: [Kongens Nytorv, hasDanishName, Kongens Nytorv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kongens Nytorv
Context triple: [Kongens Nytorv, hasDanishName, Kongens Nytorv]
  • A. Kongens Nytorv chosen
    Kongens Nytorv is a historic central square in Copenhagen known for its grand architecture, cultural institutions, and role as a major urban hub.
  • B. Vanløse Torv
    Vanløse Torv is a central square and shopping area in the Vanløse district of Copenhagen, Denmark, featuring various retail stores and local services.
  • C. Sankt Annæ Plads
    Sankt Annæ Plads is a historic, tree-lined square and promenade in central Copenhagen, known for its elegant architecture and proximity to the waterfront and royal district.
  • D. Amagertorv
    Amagertorv is a historic public square in central Copenhagen, Denmark, known for its role as a bustling pedestrian hub and its surrounding classical architecture.
  • E. Købmagergade
    Købmagergade is a central pedestrian shopping street in Copenhagen, Denmark, known for its historic buildings and popular retail stores.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb45264988190a1df13e8b54a85bd completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb78c0308190908ba791fd8dc40e completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:25 a.m.