Triple

T6605937
Position Surface form Disambiguated ID Type / Status
Subject Berlin Ostkreuz E149116 entity
Predicate connectsTo P845 FINISHED
Object Berlin Hauptbahnhof E142491 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 Hauptbahnhof | Statement: [Berlin Ostkreuz, connectsTo, Berlin Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin Hauptbahnhof
Context triple: [Berlin Ostkreuz, connectsTo, 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. Berlin-Westkreuz station
    Berlin-Westkreuz station is a major Berlin S-Bahn interchange in the west of the city, serving as a key junction for multiple suburban rail lines.
  • D. Berlin station
    Berlin station is a passenger rail station in Berlin, Connecticut, serving Amtrak and CTrail Hartford Line trains.
  • E. Berlin Station
    Berlin Station is an American espionage drama television series that follows CIA officers operating out of the agency’s Berlin branch as they navigate complex political and intelligence conflicts.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af143d5c8190b62602602510b1cb completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006b27f08190b06427480689bdbd completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:57 p.m.