Triple

T14056126
Position Surface form Disambiguated ID Type / Status
Subject Amaliegade E338223 entity
Predicate hasNearby P350 FINISHED
Object Sankt Annæ Plads E1081101 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: Sankt Annæ Plads | Statement: [Amaliegade, hasNearby, Sankt Annæ Plads]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sankt Annæ Plads
Context triple: [Amaliegade, hasNearby, Sankt Annæ Plads]
  • A. Sankt Annæ Plads chosen
    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.
  • B. Kongens Nytorv
    Kongens Nytorv is a historic central square in Copenhagen known for its grand architecture, cultural institutions, and role as a major urban hub.
  • C. Bragernes Torg
    Bragernes Torg is the central town square of Drammen, Norway, known as a major public gathering place surrounded by shops, cafes, and cultural venues.
  • D. 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.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de3c8d1aa48190a5055d15d9fa220c completed April 14, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7da9414819094d81e5a6ac9fbf9 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:20 p.m.