Triple

T22895310
Position Surface form Disambiguated ID Type / Status
Subject Kreis Kamenz E568156 entity
Predicate partOf P40 FINISHED
Object Bezirk Dresden NE NERFINISHED

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: Bezirk Dresden | Statement: [Kreis Kamenz, partOf, Bezirk Dresden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bezirk Dresden
Context triple: [Kreis Kamenz, partOf, Bezirk Dresden]
  • A. Bezirk Dresden chosen
    Bezirk Dresden was an administrative district centered on the city of Dresden that functioned as one of the key regional divisions of the former East Germany.
  • B. Bezirk Leipzig
    Bezirk Leipzig was an administrative district in the former East Germany centered around the city of Leipzig.
  • C. Zwickau district
    Zwickau district is an administrative district in the Free State of Saxony in eastern Germany, centered around the city of Zwickau and known for its industrial heritage and automotive history.
  • D. Chemnitz district
    Chemnitz district is an administrative district in the Free State of Saxony, Germany, centered around the city of Chemnitz and encompassing several surrounding towns and municipalities.
  • E. Elbe-Elster district
    Elbe-Elster district is a rural administrative district in the southern part of the German state of Brandenburg, known for its agricultural landscape and small towns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc83d688190a8ab5ea0aad1e7ec completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.