Triple

T14056522
Position Surface form Disambiguated ID Type / Status
Subject Tårnby Municipality E338233 entity
Predicate contains P35 FINISHED
Object Amager Fælled (part) E342323 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: Amager Fælled (part) | Statement: [Tårnby Municipality, contains, Amager Fælled (part)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amager Fælled (part)
Context triple: [Tårnby Municipality, contains, Amager Fælled (part)]
  • A. Amager Fælled chosen
    Amager Fælled is a large urban nature reserve on Copenhagen’s Amager Island, known for its wetlands, meadows, and rich biodiversity amid the city.
  • B. Amager Strandpark
    Amager Strandpark is a popular seaside park and artificial beach in Copenhagen known for its long sandy shoreline, recreational facilities, and views of the Øresund Strait.
  • C. Hvidovre
    Hvidovre is a suburban municipality in the Capital Region of Denmark, located just southwest of central Copenhagen.
  • D. Høje Taastrup
    Høje Taastrup is a major suburban railway and transport hub in the western part of the Copenhagen metropolitan area.
  • E. Amager Island
    Amager Island is a Danish island in the Øresund Strait that forms a significant part of Copenhagen’s urban area and hosts both residential districts and Copenhagen Airport.
  • 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_69de3c8e6d008190af8892f34c5cefbd 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.