Triple

T14056173
Position Surface form Disambiguated ID Type / Status
Subject Frederiksgade E338224 entity
Predicate alsoKnownAs P39 FINISHED
Object Frederiksgade axis E338224 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: Frederiksgade axis | Statement: [Frederiksgade, alsoKnownAs, Frederiksgade axis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederiksgade axis
Context triple: [Frederiksgade, alsoKnownAs, Frederiksgade axis]
  • A. Frederiksgade chosen
    Frederiksgade is a prominent street in central Copenhagen that forms part of the grand axial approach to Amalienborg Palace and the Marble Church.
  • B. Nørrebrogade
    Nørrebrogade is a major thoroughfare in Copenhagen’s Nørrebro district, known for its dense urban life, shops, cafés, and cultural landmarks.
  • C. Købmagergade
    Købmagergade is a central pedestrian shopping street in Copenhagen, Denmark, known for its historic buildings and popular retail stores.
  • 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. Tegnergatan
    Tegnergatan is a central street in Stockholm, Sweden, known for connecting several major thoroughfares and passing through the Vasastan and Norrmalm districts.
  • 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_69fcb6608cf8819087ed5d890b82650a completed May 7, 2026, 3:57 p.m.
Created at: April 9, 2026, 10:20 p.m.