Triple

T9990729
Position Surface form Disambiguated ID Type / Status
Subject Falkenberg (Berlin) E196878 entity
Predicate partOf P40 FINISHED
Object Berlin localities E586026 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 localities | Statement: [Falkenberg (Berlin), partOf, Berlin localities]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin localities
Context triple: [Falkenberg (Berlin), partOf, Berlin localities]
  • A. Berlin suburbs chosen
    Berlin suburbs are the residential and semi-urban areas surrounding the city of Berlin, characterized by quieter neighborhoods, green spaces, and commuter connections to the capital.
  • B. 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.
  • C. Berlin-Mitte locality
    Berlin-Mitte locality is a central urban district of Berlin known for its historic core, major government buildings, and many of the city’s most prominent cultural and tourist landmarks.
  • D. Berlin Commercial District
    The Berlin Commercial District is the historic downtown core of Berlin, Maryland, known for its preserved 19th- and early 20th-century architecture, small businesses, and walkable main-street character.
  • 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_69ca82f1678c819093d06320a05f16a4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdc7a0cb6481908d7bd1b43f93bd18 completed April 2, 2026, 1:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69d25821dde881909f5d4cc6ad048b01 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.