Triple

T10063826
Position Surface form Disambiguated ID Type / Status
Subject Lichtenrade E213050 entity
Predicate borderedBy P224 FINISHED
Object Buckow E786648 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: Buckow | Statement: [Lichtenrade, borderedBy, Buckow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buckow
Context triple: [Lichtenrade, borderedBy, Buckow]
  • A. Buckow chosen
    Buckow is a locality in the Neukölln borough of Berlin, Germany, known for its mix of residential areas and post-war housing estates.
  • B. Bohnsdorf
    Bohnsdorf is a residential locality in the southeastern part of Berlin, Germany, known for its suburban character and proximity to the city’s green and lake-rich areas.
  • C. Wietzendorf
    Wietzendorf is a small municipality in Lower Saxony, Germany, known for its rural character and location in the Lüneburg Heath region.
  • D. Biendorf
    Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
  • E. Neubukow
    Neubukow is a small town in northern Germany best known as the birthplace of archaeologist Heinrich Schliemann.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a7bd56c8190a6c43df26db880f4 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.