Triple

T14586272
Position Surface form Disambiguated ID Type / Status
Subject Amager Fælled E342323 entity
Predicate locatedIn P40 FINISHED
Object Amager Island E67975 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 Island | Statement: [Amager Fælled, locatedIn, Amager Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amager Island
Context triple: [Amager Fælled, locatedIn, Amager Island]
  • A. Amager Island chosen
    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.
  • B. Helgeandsholmen
    Helgeandsholmen is a small central Stockholm islet best known as the site of the Swedish Parliament building and part of the historic city core.
  • C. Princes Islands
    The Princes' Islands are a group of small, historically significant islands near Istanbul, Turkey, known for their car-free streets, Ottoman-era mansions, and popular day-trip resorts in the Sea of Marmara.
  • D. Djursland
    Djursland is a rural peninsula in eastern Jutland, Denmark, known for its varied coastline, beaches, and popular holiday and nature tourism.
  • E. Thurø
    Thurø is a small Danish island in the Baltic Sea known for its coastal scenery, beaches, and traditional maritime village atmosphere.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb421bb308190a457425429ef6aa5 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe729f894881908647da558bef1031 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:24 a.m.