Triple

T7506578
Position Surface form Disambiguated ID Type / Status
Subject Münsterland E177404 entity
Predicate hasLandkreis P77366 FINISHED
Object Kreis Coesfeld E604608 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: Kreis Coesfeld | Statement: [Münsterland, hasLandkreis, Kreis Coesfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Coesfeld
Context triple: [Münsterland, hasLandkreis, Kreis Coesfeld]
  • A. Kreis Borken
    Kreis Borken is a rural administrative district in the western part of North Rhine-Westphalia, Germany, bordering the Netherlands and known for its agricultural landscape and small towns.
  • B. Kreis Kamenz
    Kreis Kamenz was a former rural district in the German Democratic Republic, located in the Dresden administrative region of Saxony.
  • C. Kreis Demmin
    Kreis Demmin was a rural administrative district in the former East Germany, located in the region that is now part of the state of Mecklenburg-Vorpommern.
  • D. District of Coesfeld chosen
    The District of Coesfeld is a rural administrative district in the German state of North Rhine-Westphalia, known for its small towns, agricultural landscape, and proximity to the city of Münster.
  • E. Kreis Heiligenstadt
    Kreis Heiligenstadt was a rural district in the former East German state of Thuringia, administered within the Bezirk Erfurt.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c7017134608190bd51fb2d0ab1ff34 completed March 27, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8460be99881909cada82cf7563421 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.