Triple

T7059725
Position Surface form Disambiguated ID Type / Status
Subject Köpenick E164184 entity
Predicate hasPart P35 FINISHED
Object Altstadt Köpenick E169909 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: Altstadt Köpenick | Statement: [Köpenick, hasPart, Altstadt Köpenick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altstadt Köpenick
Context triple: [Köpenick, hasPart, Altstadt Köpenick]
  • A. Pankow
    Pankow is a northeastern borough of Berlin known for its mix of historic neighborhoods, green spaces, and the popular district of Prenzlauer Berg.
  • B. 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.
  • C. 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.
  • 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. Treptow-Köpenick chosen
    Treptow-Köpenick is Berlin’s largest and greenest borough, known for its extensive forests, lakes, and historic town centers such as Köpenick.
  • 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_69c688796c148190adb2f1596f595f22 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e458ad9c81908c3f492b317ce291 completed March 27, 2026, 8:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810a6b5348190bdf98a2fd98c9dc5 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 2:38 p.m.