Triple

T14109675
Position Surface form Disambiguated ID Type / Status
Subject Østerport E339600 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Indre By E368543 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: Indre By | Statement: [Østerport, locatedInNeighborhood, Indre By]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indre By
Context triple: [Østerport, locatedInNeighborhood, Indre By]
  • A. Indre By chosen
    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.
  • B. 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.
  • C. Frederiksberg
    Frederiksberg is an affluent, centrally located municipality in Denmark that forms an enclave within the city of Copenhagen and is known for its parks, cultural institutions, and historic architecture.
  • D. Nørreport
    Nørreport is one of central Copenhagen’s busiest transport hubs, combining metro, S-train, and regional rail services in a major underground station.
  • E. Vesterbro
    Vesterbro is a vibrant, formerly working-class district of Copenhagen known for its trendy bars, restaurants, and cultural scene.
  • 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_69feadf7fee48190bf58a1b4a603217e completed May 9, 2026, 3:46 a.m.
Created at: April 9, 2026, 10:22 p.m.