Triple

T14109652
Position Surface form Disambiguated ID Type / Status
Subject København H E339599 entity
Predicate nearbyPlace P2064 FINISHED
Object Vesterbro district E1082998 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: Vesterbro district | Statement: [København H, nearbyPlace, Vesterbro district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vesterbro district
Context triple: [København H, nearbyPlace, Vesterbro district]
  • A. Vesterbro chosen
    Vesterbro is a vibrant, formerly working-class district of Copenhagen known for its trendy bars, restaurants, and cultural scene.
  • B. Østerbro district
    Østerbro district is a central, affluent neighborhood in Copenhagen, Denmark, known for its waterfront areas, green spaces, and elegant residential streets.
  • C. Nørrebro
    Nørrebro is a vibrant, multicultural district in Copenhagen known for its lively street life, diverse communities, and mix of historic and modern urban culture.
  • D. Frederiksstaden district
    Frederiksstaden district is an elegant 18th-century Rococo quarter in central Copenhagen, known for its grand architecture, royal residences, and the prominent Amalienborg Palace complex.
  • E. Indre By
    Indre By is the historic city center of Copenhagen, Denmark, known for its cobblestone streets, canals, and many of the capital’s main cultural and architectural landmarks.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600caf308190ab6d8451ed4e3797 completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda902c598819083c5373172ed758e completed May 8, 2026, 9:12 a.m.
Created at: April 9, 2026, 10:22 p.m.