Triple

T20970969
Position Surface form Disambiguated ID Type / Status
Subject Schweriner Ufer islands E516490 entity
Predicate hasRegion P285 FINISHED
Object Havel area NE NERFINISHED

How this triple was built (3 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: Havel area | Statement: [Schweriner Ufer islands, hasRegion, Havel area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Havel area
Context triple: [Schweriner Ufer islands, hasRegion, Havel area]
  • A. Karviná region
    The Karviná region is an industrial and historically contested area in Cieszyn Silesia, now in the Czech Republic, known for its coal mining and its role in Polish–Czechoslovak territorial disputes.
  • B. Haná region
    The Haná region is a fertile historical area in central Moravia in the Czech Republic, known for its rich agricultural land, distinctive folk traditions, and cultural heritage.
  • C. Písek District
    Písek District is an administrative district in the South Bohemian Region of the Czech Republic, known for its historic town of Písek and its location along the Otava River.
  • D. Háje district
    Háje district is a residential area of Prague in the Czech Republic, known for its large housing estates and proximity to the Háje metro station.
  • E. Jablunkov region
    The Jablunkov region is a historical area in the eastern part of Cieszyn Silesia, known for its strategic mountain passes and mixed Polish-Czech cultural heritage.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Havel area
Target entity description: The Havel area is a riverine region in northeastern Germany characterized by the course of the Havel River, its lakes, wetlands, and surrounding natural landscapes.
  • A. Karviná region
    The Karviná region is an industrial and historically contested area in Cieszyn Silesia, now in the Czech Republic, known for its coal mining and its role in Polish–Czechoslovak territorial disputes.
  • B. Haná region
    The Haná region is a fertile historical area in central Moravia in the Czech Republic, known for its rich agricultural land, distinctive folk traditions, and cultural heritage.
  • C. Písek District
    Písek District is an administrative district in the South Bohemian Region of the Czech Republic, known for its historic town of Písek and its location along the Otava River.
  • D. Háje district
    Háje district is a residential area of Prague in the Czech Republic, known for its large housing estates and proximity to the Háje metro station.
  • E. Jablunkov region
    The Jablunkov region is a historical area in the eastern part of Cieszyn Silesia, known for its strategic mountain passes and mixed Polish-Czech cultural heritage.
  • F. None of above. chosen

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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba027708190a49e95b0031d980d completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:43 p.m.