Triple

T1870809
Position Surface form Disambiguated ID Type / Status
Subject German-Russian Museum Berlin-Karlshorst E39030 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: [German-Russian Museum Berlin-Karlshorst, locatedIn, Karlshorst]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karlshorst
Context triple: [German-Russian Museum Berlin-Karlshorst, 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. 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.
  • C. Lichterfelde
    Lichterfelde is a residential district in southwestern Berlin known for its historic villas, leafy streets, and affluent character.
  • D. Spandau
    Spandau is a western borough of Berlin, Germany, known for its historic old town, fortress, and role as an important residential and industrial district.
  • E. Oberkassel
    Oberkassel is a riverside district of Düsseldorf in western Germany, known for its affluent residential areas and scenic location along the Rhine.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0ba90e08190b990875d6e8e7e4a completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeae06e5c8190b20cce9c047f6087 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:34 p.m.