Triple

T2651098
Position Surface form Disambiguated ID Type / Status
Subject Olympia-Schwimmstadion E53898 entity
Predicate locatedIn P40 FINISHED
Object Berlin-Charlottenburg E95407 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-Charlottenburg | Statement: [Olympia-Schwimmstadion, locatedIn, Berlin-Charlottenburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin-Charlottenburg
Context triple: [Olympia-Schwimmstadion, locatedIn, Berlin-Charlottenburg]
  • A. Charlottenburg chosen
    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.
  • B. Charlottenburg-Wilmersdorf
    Charlottenburg-Wilmersdorf is a western borough of Berlin, Germany, known for its historic city center, cultural institutions, and major sports venues.
  • C. Steglitz-Zehlendorf
    Steglitz-Zehlendorf is a borough in southwestern Berlin known for its affluent residential areas, lakes and forests, and historically significant sites such as the Wannsee Conference villa.
  • D. Berlin-Lichtenberg
    Berlin-Lichtenberg is a borough in eastern Berlin known for its mix of post-war residential areas, historical sites, and former East German administrative and security institutions.
  • E. Berlin Gesundbrunnen
    Berlin Gesundbrunnen is a major railway and transport hub in northern Berlin, serving regional, long-distance, and S-Bahn trains as well as local U-Bahn and bus connections.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd92f5f508190b4ca396c3f399e93 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf49dc7c8190bebc1c75f6d00ef9 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:53 p.m.