Triple

T22349690
Position Surface form Disambiguated ID Type / Status
Subject Kreis Nauen E552494 entity
Predicate borderedBy P224 FINISHED
Object Kreis Gransee 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: Kreis Gransee | Statement: [Kreis Nauen, borderedBy, Kreis Gransee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Gransee
Context triple: [Kreis Nauen, borderedBy, Kreis Gransee]
  • A. Kreis Gransee chosen
    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 Torgau
    Kreis Torgau was a former rural district in the German Democratic Republic, centered on the town of Torgau in what is now the state of Saxony.
  • C. Kreis Sebnitz
    Kreis Sebnitz was a former rural district in the German Democratic Republic, located in the Bezirk Dresden region of Saxony and centered around the town of Sebnitz.
  • D. Kreis Riesa
    Kreis Riesa was a former administrative district in the German Democratic Republic, located in the region around the town of Riesa in what is now the state of Saxony.
  • E. Kreis Apolda
    Kreis Apolda was a former rural district in the German Democratic Republic, located within the administrative region of Bezirk Erfurt.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1579ad6708190ba4af97a02d0758d completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.