Triple

T15968594
Position Surface form Disambiguated ID Type / Status
Subject Altena Castle E387261 entity
Predicate locatedIn P40 FINISHED
Object Märkischer Kreis E398905 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: Märkischer Kreis | Statement: [Altena Castle, locatedIn, Märkischer Kreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Märkischer Kreis
Context triple: [Altena Castle, locatedIn, Märkischer Kreis]
  • A. Märkischer Kreis chosen
    Märkischer Kreis is a district in the German state of North Rhine-Westphalia known for its mix of industrial towns and rural landscapes in the Sauerland region.
  • B. Landkreis Havelland
    Landkreis Havelland is a rural district in the German state of Brandenburg, known for its river landscapes, lakes, and proximity to Berlin.
  • C. Kreis Brandenburg-Land
    Kreis Brandenburg-Land was a rural district in the former East German administrative region around the city of Brandenburg an der Havel, existing during the GDR era before German reunification.
  • D. Ostalbkreis
    Ostalbkreis is a rural district in the eastern part of Baden-Württemberg, Germany, known for its Swabian Alb landscapes and historic towns such as Aalen and Ellwangen.
  • E. Landkreis Barnim
    Landkreis Barnim is a rural district in the German state of Brandenburg, located northeast of Berlin and known for its mix of suburban communities and extensive natural landscapes.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157277e7881908d49f4874766b3b5 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f7f439c8190b4bcd84e35aa291e completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 4:54 a.m.