Triple

T7236026
Position Surface form Disambiguated ID Type / Status
Subject Neukölln E155228 entity
Predicate partOf P40 FINISHED
Object southern Berlin E353658 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: southern Berlin | Statement: [Neukölln, partOf, southern Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern Berlin
Context triple: [Neukölln, partOf, southern Berlin]
  • A. southern Berlin chosen
    Southern Berlin is the lower part of Germany’s capital city, encompassing predominantly residential and mixed-use districts that are linked to the center by major transit routes such as the Nord-Süd-Bahn.
  • B. northern Berlin
    Northern Berlin is the upper part of Germany’s capital city, encompassing diverse residential districts, cultural venues, and transport hubs north of the city center.
  • C. Western sectors of Berlin
    The Western sectors of Berlin were the Allied-controlled parts of the city during the Cold War, forming West Berlin and functioning as a politically separate enclave within East Germany.
  • D. northwestern Berlin
    Northwestern Berlin is a largely residential and park-rich sector of Germany’s capital city, encompassing diverse neighborhoods and green spaces.
  • E. Neukölln
    Neukölln is a diverse, historically working-class district in southern Berlin known for its vibrant multicultural community, nightlife, and rapidly changing urban landscape.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea33dd3481908ebb050e1fab5aaa completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc32d6c48190ae78b3d1227bb868 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.