Triple

T22349686
Position Surface form Disambiguated ID Type / Status
Subject Kreis Nauen E552494 entity
Predicate partOf P40 FINISHED
Object Havelland region 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: Havelland region | Statement: [Kreis Nauen, partOf, Havelland region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havelland region
Context triple: [Kreis Nauen, partOf, Havelland region]
  • A. Havelland
    Havelland is a rural district in western Brandenburg, Germany, known for its river landscapes along the Havel, historic towns, and agricultural character.
  • B. Landkreis Havelland chosen
    Landkreis Havelland is a rural district in the German state of Brandenburg, known for its river landscapes, lakes, and proximity to Berlin.
  • 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. Fläming region
    The Fläming region is a historic, sparsely populated upland area in eastern Germany known for its glacially formed landscapes, small towns, and extensive cycling and hiking routes.
  • E. Wendland region
    The Wendland region is a rural area in the eastern part of Lower Saxony, Germany, known for its historic Rundling (circular) villages and strong environmental and anti-nuclear activism.
  • 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.