Triple

T21739918
Position Surface form Disambiguated ID Type / Status
Subject Berne E536626 entity
Predicate isMemberOf P10 FINISHED
Object Swiss Metropolitan Areas network — 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: Swiss Metropolitan Areas network | Statement: [Berne, isMemberOf, Swiss Metropolitan Areas network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Swiss Metropolitan Areas network
Context triple: [Berne, isMemberOf, Swiss Metropolitan Areas network]
  • A. Lausanne urban transport network
    The Lausanne urban transport network is the integrated public transit system serving Lausanne and its surrounding areas, combining metro, bus, and other services to provide urban and regional mobility.
  • B. National Capital Region urban network
    The National Capital Region urban network is a large, interconnected metropolitan area centered on Delhi that links multiple surrounding cities and districts into a single integrated urban and economic region.
  • C. Swiss digital landscape model
    The Swiss digital landscape model is a high-resolution, nationwide 3D representation of Switzerland’s terrain and surface features used for mapping, planning, and geospatial analysis.
  • D. Milan urban mobility network
    The Milan urban mobility network is the integrated public transportation system of Milan, encompassing trams, buses, metro lines, and other services that connect the city and its surrounding areas.
  • E. Zürich city centre public spaces network
    The Zürich city centre public spaces network is an interconnected system of plazas, streets, and pedestrian areas in central Zürich designed to support urban life, mobility, and public gatherings.
  • 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: Swiss Metropolitan Areas network
Target entity description: The Swiss Metropolitan Areas network is an association of Switzerland’s major metropolitan regions that collaborates on strategic planning, economic development, and coordinated urban policy.
  • A. Lausanne urban transport network
    The Lausanne urban transport network is the integrated public transit system serving Lausanne and its surrounding areas, combining metro, bus, and other services to provide urban and regional mobility.
  • B. National Capital Region urban network
    The National Capital Region urban network is a large, interconnected metropolitan area centered on Delhi that links multiple surrounding cities and districts into a single integrated urban and economic region.
  • C. Swiss digital landscape model
    The Swiss digital landscape model is a high-resolution, nationwide 3D representation of Switzerland’s terrain and surface features used for mapping, planning, and geospatial analysis.
  • D. Milan urban mobility network
    The Milan urban mobility network is the integrated public transportation system of Milan, encompassing trams, buses, metro lines, and other services that connect the city and its surrounding areas.
  • E. Zürich city centre public spaces network
    The Zürich city centre public spaces network is an interconnected system of plazas, streets, and pedestrian areas in central Zürich designed to support urban life, mobility, and public gatherings.
  • 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_69e0c46df5448190b4322127ffc4c690 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a714c208190b96efe23ed3bf0db completed April 28, 2026, 2:24 a.m.
Created at: April 16, 2026, 6:49 p.m.