Triple

T6051361
Position Surface form Disambiguated ID Type / Status
Subject Bezirk Dresden E134800 entity
Predicate hasPart P35 FINISHED
Object Kreis Großenhain E572153 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 Großenhain | Statement: [Bezirk Dresden, hasPart, Kreis Großenhain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Großenhain
Context triple: [Bezirk Dresden, hasPart, Kreis Großenhain]
  • A. Kreis Gransee
    Kreis Gransee was a rural administrative district in the former East German state structure, located in the northern part of what is now the federal state of Brandenburg.
  • B. Kreis Belzig
    Kreis Belzig was a former rural district in the German Democratic Republic, located in the Potsdam region of the state of Brandenburg.
  • C. Kreis Bischofswerda chosen
    Kreis Bischofswerda was a former rural district in the German Democratic Republic, located in the Dresden region of Saxony and centered around the town of Bischofswerda.
  • D. Kreis Nauen
    Kreis Nauen was a former administrative district in the German state of Brandenburg, historically centered around the town of Nauen and later incorporated into larger regional structures.
  • E. 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.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f66cb08190a782cdd038f26b93 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c518ccee748190a0e292bc18b552f8 completed March 26, 2026, 11:30 a.m.
Created at: March 22, 2026, 4:09 p.m.