Triple

T18501160
Position Surface form Disambiguated ID Type / Status
Subject Tram line 3 (Bern) E452067 entity
Predicate network P2637 FINISHED
Object Bernmobil tram 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: Bernmobil tram network | Statement: [Tram line 3 (Bern), network, Bernmobil tram network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bernmobil tram network
Context triple: [Tram line 3 (Bern), network, Bernmobil tram network]
  • A. Munich tram network
    The Munich tram network is an extensive street-level light rail system that complements the city’s U-Bahn and S-Bahn by providing dense urban coverage across Munich.
  • B. Mannheim tram network
    The Mannheim tram network is an urban light rail system serving the German city of Mannheim and its districts, forming a key part of the region’s public transportation infrastructure.
  • C. Berlin tram
    The Berlin tram is an extensive light rail network serving many districts of Germany’s capital, particularly in the eastern parts of the city, and forms a key component of its public transport system.
  • D. Heidelberg tram network
    The Heidelberg tram network is an urban light rail system serving the city of Heidelberg, Germany, connecting key districts, residential areas, and institutions such as the Neuenheimer Feld campus.
  • E. Frankfurt tram network
    The Frankfurt tram network is an extensive urban light rail system in Frankfurt am Main, Germany, forming a key part of the city’s public transportation infrastructure.
  • 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: Bernmobil tram network
Target entity description: The Bernmobil tram network is the urban tramway system serving the city of Bern, Switzerland, operated by the municipal public transport company Bernmobil.
  • A. Munich tram network
    The Munich tram network is an extensive street-level light rail system that complements the city’s U-Bahn and S-Bahn by providing dense urban coverage across Munich.
  • B. Mannheim tram network
    The Mannheim tram network is an urban light rail system serving the German city of Mannheim and its districts, forming a key part of the region’s public transportation infrastructure.
  • C. Berlin tram
    The Berlin tram is an extensive light rail network serving many districts of Germany’s capital, particularly in the eastern parts of the city, and forms a key component of its public transport system.
  • D. Heidelberg tram network
    The Heidelberg tram network is an urban light rail system serving the city of Heidelberg, Germany, connecting key districts, residential areas, and institutions such as the Neuenheimer Feld campus.
  • E. Frankfurt tram network
    The Frankfurt tram network is an extensive urban light rail system in Frankfurt am Main, Germany, forming a key part of the city’s public transportation infrastructure.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.