Triple

T17917563
Position Surface form Disambiguated ID Type / Status
Subject Prenzlauer Berg E447971 entity
Predicate hasLandmark P105 FINISHED
Object Kulturbrauerei 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: Kulturbrauerei | Statement: [Prenzlauer Berg, hasLandmark, Kulturbrauerei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kulturbrauerei
Context triple: [Prenzlauer Berg, hasLandmark, Kulturbrauerei]
  • A. Kulturbrauerei chosen
    Kulturbrauerei is a former brewery complex in Berlin that has been transformed into a major cultural center with theaters, clubs, cinemas, and event spaces.
  • B. Kulturfabrik
    Kulturfabrik is a prominent cultural center in Esch-sur-Alzette, Luxembourg, known for hosting concerts, theater performances, exhibitions, and other contemporary arts events.
  • C. Schoppen
    Schoppen is a small village that forms part of the municipality of Amel in the German-speaking Community of eastern Belgium.
  • D. Kaisermühlen
    Kaisermühlen is a district of Vienna, Austria, known for its modern developments along the Danube and for hosting major international institutions.
  • E. Café am Neuen See
    Café am Neuen See is a popular lakeside beer garden and restaurant in Berlin’s Tiergarten park, known for its relaxed atmosphere and scenic setting.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30778fc81908b5b2e308fb158a5 completed April 19, 2026, 9:40 a.m.
Created at: April 10, 2026, 10:20 a.m.