Triple

T18072311
Position Surface form Disambiguated ID Type / Status
Subject Bonn Stadtbahn lines E432459 entity
Predicate mainUndergroundStation P28508 FINISHED
Object Bonn Hauptbahnhof underground station 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: Bonn Hauptbahnhof underground station | Statement: [Bonn Stadtbahn lines, mainUndergroundStation, Bonn Hauptbahnhof underground station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bonn Hauptbahnhof underground station
Context triple: [Bonn Stadtbahn lines, mainUndergroundStation, Bonn Hauptbahnhof underground station]
  • A. Bonn UN Campus station
    Bonn UN Campus station is a light rail and train stop in Bonn, Germany, serving the United Nations campus and nearby conference and government facilities.
  • B. Bonn-Bad Godesberg station
    Bonn-Bad Godesberg station is a railway station in the Bad Godesberg district of Bonn, Germany, serving regional and local train services.
  • C. Bonn-Beuel station
    Bonn-Beuel station is a railway station in the Beuel district of Bonn, Germany, serving regional and local train services.
  • D. Bonn Hauptbahnhof chosen
    Bonn Hauptbahnhof is the central railway station of Bonn, Germany, serving as a key regional and long-distance transport hub with extensive connections across the Rhine-Ruhr area and beyond.
  • E. Hallesches Tor station
    Hallesches Tor station is a major Berlin U-Bahn interchange station in the Kreuzberg district, serving multiple lines and acting as an important hub in the city’s public transport network.
  • 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: mainUndergroundStation
Context triple: [Bonn Stadtbahn lines, mainUndergroundStation, Bonn Hauptbahnhof underground station]
  • A. subwayStation chosen
    Indicates that one entity is a subway station associated with, located in, or serving the other entity.
  • B. openedAsUndergroundStation
    Indicates that an entity began operation specifically as an underground railway/metro station at the time it was opened.
  • C. hasNearbyUndergroundStationEntrance
    Indicates that one entity is located close to an entrance of an underground (subway/metro) station.
  • D. operatedUnderground
    Indicates that an entity conducted its activities or operations beneath the surface of the ground, rather than at or above ground level.
  • E. hasSubwayStationEntrance
    Indicates that one entity serves as an entrance or access point to a subway station associated with another entity.
  • F. None of above.

Provenance (3 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccef022c81909be41b2c3a3ee68e completed April 19, 2026, 12:39 p.m.
PD Predicate disambiguation batch_69e3f90c652481908133a73106d78919 completed April 18, 2026, 9:35 p.m.
Created at: April 10, 2026, 10:26 a.m.