Triple

T22349692
Position Surface form Disambiguated ID Type / Status
Subject Kreis Nauen E552494 entity
Predicate borderedBy P224 FINISHED
Object Kreis Rathenow 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 Rathenow | Statement: [Kreis Nauen, borderedBy, Kreis Rathenow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Rathenow
Context triple: [Kreis Nauen, borderedBy, Kreis Rathenow]
  • A. Kreis Rathenow chosen
    Kreis Rathenow was a former administrative district in the German Democratic Republic, located within the Bezirk Potsdam in the state of Brandenburg.
  • B. Kreis Potsdam-Land
    Kreis Potsdam-Land was a rural district in the former East German administrative region of Bezirk Potsdam, surrounding the city of Potsdam.
  • C. 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.
  • D. Kreis Eberswalde
    Kreis Eberswalde was a former administrative district in the Prussian province of Brandenburg, centered on the town of Eberswalde in northeastern Germany.
  • E. Kreis Belzig
    Kreis Belzig was a former rural district in the German Democratic Republic, located in the Potsdam region of the state of Brandenburg.
  • 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.