Triple

T17463600
Position Surface form Disambiguated ID Type / Status
Subject Zehlendorf E425218 entity
Predicate hasBorder P224 FINISHED
Object Dahlem locality 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: Dahlem locality | Statement: [Zehlendorf, hasBorder, Dahlem locality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dahlem locality
Context triple: [Zehlendorf, hasBorder, Dahlem locality]
  • A. Dahlem chosen
    Dahlem is a district in southwestern Berlin known for its concentration of research institutes, universities, and cultural institutions.
  • B. Friedrichsfelde locality
    Friedrichsfelde is a residential and historically significant locality in the Berlin borough of Lichtenberg, known among other things for the Tierpark Berlin zoo and its post-war urban architecture.
  • C. Friedrichsfelde
    Friedrichsfelde is a residential district in the Berlin borough of Lichtenberg, known for its large housing estates and proximity to Tierpark Berlin.
  • D. Wilmersdorf
    Wilmersdorf is a residential district in southwestern Berlin known for its affluent neighborhoods, shopping streets like Kurfürstendamm, and a mix of historic and modern architecture.
  • E. Neu-Hohenschönhausen locality
    Neu-Hohenschönhausen is a residential locality in the northeast of Berlin, Germany, known for its large prefabricated housing estates built during the GDR era.
  • 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a5bba08190b61a21fa7538ed69 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.