Triple

T2930873
Position Surface form Disambiguated ID Type / Status
Subject Ronsdorf E78956 entity
Predicate hasUrbanDistrict P11388 FINISHED
Object Wuppertal-Ronsdorf E173299 NE FINISHED

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: Wuppertal-Ronsdorf | Statement: [Ronsdorf, hasUrbanDistrict, Wuppertal-Ronsdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuppertal-Ronsdorf
Context triple: [Ronsdorf, hasUrbanDistrict, Wuppertal-Ronsdorf]
  • A. Ronsdorf
    Ronsdorf is a district of the German city of Wuppertal in North Rhine-Westphalia, historically known as an independent town in the Bergisches Land region.
  • B. Remscheid
    Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
  • C. Wuppertal chosen
    Wuppertal is a city in western Germany known for its steep slopes, extensive parks, and the unique suspended monorail Wuppertal Schwebebahn.
  • D. Lünen
    Lünen is a town in North Rhine-Westphalia, Germany, known as an industrial and commuter city in the Ruhr area.
  • E. Bergedorf
    Bergedorf is a historic quarter and former independent town in the southeast of Hamburg, Germany, known for its medieval castle and role as a regional administrative and trading center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanDistrict
Context triple: [Ronsdorf, hasUrbanDistrict, Wuppertal-Ronsdorf]
  • A. isUrbanDistrict
    Indicates that a given district is classified as an urban administrative or residential area rather than a rural one.
  • B. containsUrbanArea chosen
    Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
  • C. isUrbanNeighborhood
    Indicates that a given area functions as a neighborhood located within an urban or city environment.
  • D. hasUrbanClassification
    Indicates that an entity is assigned a specific urban status or category within a defined classification system.
  • E. hasUrbanFunction
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • F. None of above.

Provenance (4 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad980191388190ac2455a7d9867be3 completed March 8, 2026, 3:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b086703868819083eacc3fe392fde1 completed March 10, 2026, 9 p.m.
PD Predicate disambiguation batch_69ad9606e8348190bb19df33a2709674 completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 2:55 p.m.