Triple

T21180310
Position Surface form Disambiguated ID Type / Status
Subject Gera tram network E521929 entity
Predicate integrationWith P16507 FINISHED
Object Gera city bus 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: Gera city bus network | Statement: [Gera tram network, integrationWith, Gera city bus network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gera city bus network
Context triple: [Gera tram network, integrationWith, Gera city bus network]
  • A. Gera tram network
    The Gera tram network is the urban light rail system serving the city of Gera in Thuringia, Germany, providing local public transport across the city and surrounding areas.
  • B. Marburg city bus network
    The Marburg city bus network is the local public transportation system serving the German university city of Marburg and its surrounding districts.
  • C. Darmstadt city bus network
    The Darmstadt city bus network is the local public transportation system of Darmstadt, Germany, providing extensive bus services that connect the main railway station with neighborhoods, suburbs, and key destinations throughout the city.
  • D. Erlangen public bus network
    The Erlangen public bus network is the city’s local bus system providing scheduled urban and suburban transit services throughout Erlangen and its surrounding districts.
  • E. Ulm bus network
    The Ulm bus network is the city’s primary public transportation system, consisting of multiple bus lines that connect key districts, suburbs, and transit hubs throughout Ulm and its surroundings.
  • 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: Gera city bus network
Target entity description: The Gera city bus network is the system of urban bus routes in Gera, Germany, that complements and connects with the city’s tram services to provide comprehensive public transportation coverage.
  • A. Gera tram network
    The Gera tram network is the urban light rail system serving the city of Gera in Thuringia, Germany, providing local public transport across the city and surrounding areas.
  • B. Marburg city bus network
    The Marburg city bus network is the local public transportation system serving the German university city of Marburg and its surrounding districts.
  • C. Darmstadt city bus network
    The Darmstadt city bus network is the local public transportation system of Darmstadt, Germany, providing extensive bus services that connect the main railway station with neighborhoods, suburbs, and key destinations throughout the city.
  • D. Erlangen public bus network
    The Erlangen public bus network is the city’s local bus system providing scheduled urban and suburban transit services throughout Erlangen and its surrounding districts.
  • E. Ulm bus network
    The Ulm bus network is the city’s primary public transportation system, consisting of multiple bus lines that connect key districts, suburbs, and transit hubs throughout Ulm and its surroundings.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301c842c8190b969a8b3f194003a completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:01 p.m.