Triple

T10055375
Position Surface form Disambiguated ID Type / Status
Subject Herscheid E208847 entity
Predicate partOf 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: [Herscheid, partOf, Märkischer Kreis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Märkischer Kreis
Context triple: [Herscheid, partOf, 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. Prignitz district
    Prignitz district is a rural administrative district in the northwest of the German state of Brandenburg, known for its agricultural landscapes, small historic towns, and riverine environments.
  • 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_69ca836094408190a36a1ea7e9a86fcd completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcfacacd08190abe66f8bb17b92c7 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b61869208190ab67a28e2aa8f8ec completed April 5, 2026, 7:20 p.m.
Created at: March 30, 2026, 8:57 p.m.