Triple

T17583159
Position Surface form Disambiguated ID Type / Status
Subject Museum Europäischer Kulturen E428253 entity
Predicate locatedIn P40 FINISHED
Object Dahlem NE NERFINISHED

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: Dahlem | Statement: [Museum Europäischer Kulturen, locatedIn, Dahlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dahlem
Context triple: [Museum Europäischer Kulturen, locatedIn, Dahlem]
  • A. Dahlem chosen
    Dahlem is a district in southwestern Berlin known for its concentration of research institutes, universities, and cultural institutions.
  • B. Friedrichsfelde
    Friedrichsfelde is a residential district in the Berlin borough of Lichtenberg, known for its large housing estates and proximity to Tierpark Berlin.
  • C. Wilmersdorf
    Wilmersdorf is a residential district in southwestern Berlin known for its affluent neighborhoods, shopping streets like Kurfürstendamm, and a mix of historic and modern architecture.
  • D. Sorpedamm
    Sorpedamm is a reservoir dam in North Rhine-Westphalia, Germany, primarily used for water supply, flood control, and recreation.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463cf556881908d2935b3761f65df completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.