Triple

T1361172
Position Surface form Disambiguated ID Type / Status
Subject Reichstag building E29100 entity
Predicate nearbyPublicTransport P5822 FINISHED
Object Berlin Hauptbahnhof E142491 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: Berlin Hauptbahnhof | Statement: [Reichstag building, nearbyPublicTransport, Berlin Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Hauptbahnhof
Context triple: [Reichstag building, nearbyPublicTransport, Berlin Hauptbahnhof]
  • A. Berlin Hauptbahnhof chosen
    Berlin Hauptbahnhof is the main railway station in Berlin and one of Europe’s largest and most important rail hubs, serving extensive regional, national, and international connections.
  • B. Berlin Ostbahnhof
    Berlin Ostbahnhof is one of Berlin’s main railway hubs, serving long-distance, regional, and S-Bahn trains in the eastern part of the city.
  • C. Frankfurt (Main) Hauptbahnhof
    Frankfurt (Main) Hauptbahnhof is one of Germany’s largest and busiest railway stations, serving as a major national and international transport hub in the city of Frankfurt.
  • D. Hannover Hauptbahnhof
    Hannover Hauptbahnhof is the main central railway station of Hanover, Germany, serving as a major national and international transport hub.
  • E. Berlin Friedrichstraße station
    Berlin Friedrichstraße station is a central railway hub in Berlin that serves as a key interchange for S-Bahn, regional, and long-distance trains, historically known for its role as a border crossing during the division of the city.
  • 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: nearbyPublicTransport
Context triple: [Reichstag building, nearbyPublicTransport, Berlin Hauptbahnhof]
  • A. nearbyTransit chosen
    Indicates that one location has public transportation options situated within a short distance or easy access from it.
  • B. transportationNearby
    Indicates that there is a transportation facility or service located close to the referenced entity.
  • C. nearbyCurrent
    Indicates that one entity is located close to another entity at the present moment or in the current context.
  • D. hasPublicTransportStop
    Indicates that a location or area contains or is served by a public transport stop, such as a bus, tram, or train stop.
  • E. nearestPassengerRailStation
    Indicates that one entity is the closest passenger rail station in distance to another entity.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c2b2fb448190bef31375169b4666 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce725fec819085f6de8e6e368aa4 completed March 8, 2026, 1:18 a.m.
PD Predicate disambiguation batch_69a4bef945c08190a027472fdd695ea5 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:57 p.m.