Triple

T14056244
Position Surface form Disambiguated ID Type / Status
Subject Bådsmandsstræde Barracks E338226 entity
Predicate locatedIn P40 FINISHED
Object Christianshavn E343076 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: Christianshavn | Statement: [Bådsmandsstræde Barracks, locatedIn, Christianshavn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christianshavn
Context triple: [Bådsmandsstræde Barracks, locatedIn, Christianshavn]
  • A. Christianshavn chosen
    Christianshavn is a historic, canal-filled neighborhood in central Copenhagen known for its maritime atmosphere, colorful houses, and alternative cultural scene.
  • B. Ennore
    Ennore is a coastal industrial and port suburb in the northern part of Chennai, Tamil Nadu, India.
  • C. Gentofte
    Gentofte is a suburban municipality just north of central Copenhagen in eastern Denmark, known for its affluent residential areas and proximity to the Øresund coast.
  • D. Hvidovre
    Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
  • E. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • 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.