Triple

T22751471
Position Surface form Disambiguated ID Type / Status
Subject Kreis Potsdam-Land E562710 entity
Predicate borders P224 FINISHED
Object Kreis Belzig 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 Belzig | Statement: [Kreis Potsdam-Land, borders, Kreis Belzig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kreis Belzig
Context triple: [Kreis Potsdam-Land, borders, Kreis Belzig]
  • A. Kreis Belzig chosen
    Kreis Belzig was a former rural district in the German Democratic Republic, located in the Potsdam region of the state of Brandenburg.
  • B. Kreis Pritzwalk
    Kreis Pritzwalk was a former rural district in the Prignitz region of Brandenburg, Germany, centered on the town of Pritzwalk.
  • C. Kreis Eberswalde
    Kreis Eberswalde was a former administrative district in the Prussian province of Brandenburg, centered on the town of Eberswalde in northeastern Germany.
  • 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 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b9ac348190bff4dc470931f7e3 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.