Triple

T2817026
Position Surface form Disambiguated ID Type / Status
Subject Barmen E54311 entity
Predicate hasNeighbouringDistrict P17964 FINISHED
Object Elberfeld E488322 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: Elberfeld | Statement: [Barmen, hasNeighbouringDistrict, Elberfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elberfeld
Context triple: [Barmen, hasNeighbouringDistrict, Elberfeld]
  • A. Elberfeld chosen
    Elberfeld is a historic district of the German city of Wuppertal in North Rhine-Westphalia, known for its 19th-century architecture and early industrial development.
  • B. Hennef
    Hennef is a town in North Rhine-Westphalia, Germany, situated on the river Sieg near Bonn and known for its mix of residential areas, industry, and surrounding countryside.
  • C. Oberhausen
    Oberhausen is an industrial city in Germany’s Ruhr region, historically known for its coal and steel production and heavily affected by World War II bombing.
  • D. Remscheid
    Remscheid is a city in North Rhine-Westphalia, Germany, known historically for its metalworking industry and as the birthplace of physicist Wilhelm Röntgen.
  • E. Bergkamen
    Bergkamen is a town in North Rhine-Westphalia, Germany, known for its coal mining heritage and post-war planned urban development.
  • 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: hasNeighbouringDistrict
Context triple: [Barmen, hasNeighbouringDistrict, Elberfeld]
  • A. neighbouringMunicipality
    Indicates that one municipality directly borders and is adjacent to another municipality.
  • B. hasSisterDistrict
    Indicates that one district is designated as a sister district to another, typically reflecting a formal partnership or cooperative relationship between them.
  • C. hasNeighbouringParish
    Indicates that one parish is directly adjacent to or borders another parish geographically.
  • D. neighboringRegion chosen
    Indicates that two regions share a common boundary or are directly adjacent to each other geographically.
  • E. containsDistrictMunicipality
    Indicates that an administrative region includes one or more district municipalities within its boundaries.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69bed8f0f4088190ba66d5e3c6642c9a completed March 21, 2026, 5:44 p.m.
PD Predicate disambiguation batch_69abdd08f2f481908c3da8a9c7a00552 completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:59 p.m.