Triple

T9990214
Position Surface form Disambiguated ID Type / Status
Subject Karlshorst railway station E196866 entity
Predicate locatedIn P40 FINISHED
Object Karlshorst E38726 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: Karlshorst | Statement: [Karlshorst railway station, locatedIn, Karlshorst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlshorst
Context triple: [Karlshorst railway station, locatedIn, Karlshorst]
  • A. Karlshorst chosen
    Karlshorst is a district in Berlin, Germany, historically notable as the site where Nazi Germany signed its unconditional surrender to the Soviet Union in 1945 and for hosting key Soviet military institutions during the postwar period.
  • B. Ostkreuz
    Ostkreuz is one of Berlin’s busiest and most important S-Bahn interchange stations, serving as a major hub for multiple suburban rail lines.
  • C. Sorpedamm
    Sorpedamm is a reservoir dam in North Rhine-Westphalia, Germany, primarily used for water supply, flood control, and recreation.
  • D. Charlottenburg
    Charlottenburg is a historic district in western Berlin, Germany, known for its baroque Charlottenburg Palace and role as a former independent city before incorporation into Berlin.
  • E. Fehrbelliner Platz
    Fehrbelliner Platz is a Berlin U-Bahn station in the Wilmersdorf district that serves as a key transfer point between multiple subway 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc7a0cb6481908d7bd1b43f93bd18 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258190f408190949d50badb3ec6f9 completed April 5, 2026, 12:39 p.m.
Created at: March 30, 2026, 8:50 p.m.