Triple

T10568981
Position Surface form Disambiguated ID Type / Status
Subject Ahrensburg E249427 entity
Predicate partOf P40 FINISHED
Object Stormarn district E802841 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: Stormarn district | Statement: [Ahrensburg, partOf, Stormarn district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stormarn district
Context triple: [Ahrensburg, partOf, Stormarn district]
  • A. Stormarn district chosen
    Stormarn district is an administrative district in the state of Schleswig-Holstein in northern Germany, located between Hamburg and Lübeck.
  • B. Lolland
    Lolland is a large, predominantly agricultural island in southeastern Denmark known for its flat landscape and sugar beet production.
  • C. Faro District
    Faro District is the southernmost administrative district of mainland Portugal, encompassing much of the Algarve region and its popular coastal resorts.
  • D. Gotland Municipality
    Gotland Municipality is a unified local government entity that administers the entire island of Gotland in Sweden, encompassing both urban and rural areas.
  • E. Gotland County
    Gotland County is an administrative region of Sweden encompassing the island of Gotland in the Baltic Sea, known for its medieval heritage and unique insular culture.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e7396a4819082cc73c736636fb9 completed April 10, 2026, 8:32 p.m.
Created at: April 6, 2026, 12:37 p.m.