Triple

T7035823
Position Surface form Disambiguated ID Type / Status
Subject Prenzlau E163379 entity
Predicate locatedIn P40 FINISHED
Object Uckermark region E67735 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: Uckermark region | Statement: [Prenzlau, locatedIn, Uckermark region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uckermark region
Context triple: [Prenzlau, locatedIn, Uckermark region]
  • A. Uckermark chosen
    Uckermark is a rural historical region in northeastern Germany, known for its lakes, forests, and low population density, located primarily in the state of Brandenburg.
  • B. Uckermark district
    Uckermark district is a largely rural administrative district in northeastern Brandenburg, Germany, known for its expansive natural landscapes, lakes, and historic villages.
  • C. Havelte region
    The Havelte region is a rural area in the Dutch province of Drenthe known for its heathlands, prehistoric dolmens (hunebedden), and characteristic village landscapes.
  • D. Nordvorpommern
    Nordvorpommern was a former district in the German state of Mecklenburg-Vorpommern, located along the Baltic Sea coast and later incorporated into the district of Vorpommern-Rügen.
  • E. Landkreis Havelland
    Landkreis Havelland is a rural district in the German state of Brandenburg, known for its river landscapes, lakes, and proximity to Berlin.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e220508c8190b8950cf38280b8c2 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7943ca8548190877d2698265ce7da completed March 28, 2026, 8:41 a.m.
Created at: March 27, 2026, 2:36 p.m.