Triple

T19033773
Position Surface form Disambiguated ID Type / Status
Subject Vilnius railway station E465810 entity
Predicate connectedTo P37 FINISHED
Object Vilnius public transport 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: Vilnius public transport network | Statement: [Vilnius railway station, connectedTo, Vilnius public transport network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vilnius public transport network
Context triple: [Vilnius railway station, connectedTo, Vilnius public transport network]
  • A. Vilnius railway station
    Vilnius railway station is the main passenger and freight rail hub of Lithuania’s capital, serving as a key national and international transport gateway.
  • B. Kaunas urban transport network
    The Kaunas urban transport network is the integrated system of buses, trolleybuses, and related infrastructure that provides public transit throughout the city of Kaunas, Lithuania.
  • C. Lithuanian Railways network
    The Lithuanian Railways network is the national railway system of Lithuania, encompassing its main passenger and freight rail lines and stations across the country.
  • D. Warsaw public transport network
    The Warsaw public transport network is an integrated system of buses, trams, metro lines, and suburban rail services that provides comprehensive urban and regional mobility across Poland’s capital city.
  • E. New Town of Kaunas
    The New Town of Kaunas is a central district of Kaunas, Lithuania, characterized by its 19th–20th century urban layout, commercial streets, and more modern architecture compared to the historic Old Town.
  • 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: Vilnius public transport network
Target entity description: The Vilnius public transport network is the integrated system of buses, trolleybuses, and related services that provides urban and suburban mobility throughout Lithuania’s capital city.
  • A. Vilnius railway station
    Vilnius railway station is the main passenger and freight rail hub of Lithuania’s capital, serving as a key national and international transport gateway.
  • B. Kaunas urban transport network
    The Kaunas urban transport network is the integrated system of buses, trolleybuses, and related infrastructure that provides public transit throughout the city of Kaunas, Lithuania.
  • C. Lithuanian Railways network
    The Lithuanian Railways network is the national railway system of Lithuania, encompassing its main passenger and freight rail lines and stations across the country.
  • D. Warsaw public transport network
    The Warsaw public transport network is an integrated system of buses, trams, metro lines, and suburban rail services that provides comprehensive urban and regional mobility across Poland’s capital city.
  • E. New Town of Kaunas
    The New Town of Kaunas is a central district of Kaunas, Lithuania, characterized by its 19th–20th century urban layout, commercial streets, and more modern architecture compared to the historic Old Town.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d741cabc8190900e12265ad269f8 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.