Triple

T14265920
Position Surface form Disambiguated ID Type / Status
Subject Wedding, Berlin E353643 entity
Predicate partOf P40 FINISHED
Object Mitte, Berlin E34084 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: Mitte, Berlin | Statement: [Wedding, Berlin, partOf, Mitte, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitte, Berlin
Context triple: [Wedding, Berlin, partOf, Mitte, Berlin]
  • A. Mitte, Berlin chosen
    Mitte, Berlin is the central district of Germany’s capital city, known for its historic core, major cultural institutions, and many of Berlin’s most famous landmarks.
  • B. 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.
  • C. Friedrichswerder, Berlin
    Friedrichswerder is a historic inner-city quarter of Berlin known for its 19th-century architecture and cultural landmarks near the city’s political and museum districts.
  • D. Berlin government district
    The Berlin government district is the central area of Germany’s capital that houses key federal institutions, including the Bundestag in the Reichstag building and the offices of the Chancellor.
  • E. Berlin-Wedding
    Berlin-Wedding is a diverse, historically working-class district in northwestern Berlin known for its multicultural population, affordable housing, and growing arts and student scene.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326551b08190ae8fe220a6422339 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:09 a.m.