Triple

T17546676
Position Surface form Disambiguated ID Type / Status
Subject S-Bahn Berlin GmbH E427342 entity
Predicate hasMainHub P2958 FINISHED
Object Berlin Ostkreuz E1108896 NE FINISHED

How this triple was built (2 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 Ostkreuz | Statement: [S-Bahn Berlin GmbH, hasMainHub, Berlin Ostkreuz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Ostkreuz
Context triple: [S-Bahn Berlin GmbH, hasMainHub, Berlin Ostkreuz]
  • A. Berlin Ostkreuz
    Berlin Ostkreuz is one of Berlin’s busiest and most important railway hubs, serving as a key interchange point for multiple S-Bahn and regional train lines in the city’s eastern area.
  • B. Berlin Südkreuz
    Berlin Südkreuz is a major railway interchange in southern Berlin that serves as a key hub for S-Bahn, regional, and long-distance train services.
  • C. Berlin Ostkreuz station chosen
    Berlin Ostkreuz station is one of Berlin’s busiest and most important railway and S-Bahn interchange hubs, serving as a major transit node in the city’s eastern area.
  • D. 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.
  • E. Berlin Gesundbrunnen station
    Berlin Gesundbrunnen station is a major railway and public transport hub in Berlin, Germany, serving regional, long-distance, and urban transit lines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454626cfc8190a2602ba4934b8e6d completed April 19, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e80dee4c8190a8df0734aac0f32f completed May 11, 2026, 2:30 p.m.
Created at: April 10, 2026, 5:49 a.m.