Triple

T3259391
Position Surface form Disambiguated ID Type / Status
Subject Nyhavn E68372 entity
Predicate connectedTo P37 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: [Nyhavn, connectedTo, Kongens Nytorv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kongens Nytorv
Context triple: [Nyhavn, connectedTo, 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. Købmagergade
    Købmagergade is a central pedestrian shopping street in Copenhagen, Denmark, known for its historic buildings and popular retail stores.
  • C. Frederiksgade
    Frederiksgade is a prominent street in central Copenhagen that forms part of the grand axial approach to Amalienborg Palace and the Marble Church.
  • D. Kongen’s Gade
    Kongen’s Gade is a notable street in Charlotte Amalie, Saint Thomas, U.S. Virgin Islands, known for its historic buildings and governmental institutions.
  • E. Copenhagen City Hall Square
    Copenhagen City Hall Square is a central public plaza in Copenhagen that serves as a major civic, cultural, and transportation hub in front of the city hall.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adafa4f40c81909adfd0f7f568e3ce completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8369b708190aeddf21dd9440d6a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:09 p.m.