Triple

T16214531
Position Surface form Disambiguated ID Type / Status
Subject Karow E393550 entity
Predicate adjacentTo P224 FINISHED
Object Stadtrandsiedlung Malchow E196879 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: Stadtrandsiedlung Malchow | Statement: [Karow, adjacentTo, Stadtrandsiedlung Malchow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadtrandsiedlung Malchow
Context triple: [Karow, adjacentTo, Stadtrandsiedlung Malchow]
  • A. Malchow (Berlin)
    Malchow (Berlin) is a small, village-like locality in the Berlin borough of Lichtenberg, known for its rural character and surrounding natural areas.
  • B. Blankenfelde-Mahlow
    Blankenfelde-Mahlow is a municipality in the Teltow-Fläming district of Brandenburg, Germany, located just south of Berlin and known as a suburban residential area within the Berlin metropolitan region.
  • C. Niederschönhausen
    Niederschönhausen is a residential district in the Berlin borough of Pankow, known for its historic villas, green spaces, and the former presidential residence Schloss Schönhausen.
  • D. Marienfelde
    Marienfelde is a locality in the southern part of Berlin known for its residential areas and historical refugee reception center.
  • E. Malchow locality chosen
    Malchow locality is a small residential district in the Berlin borough of Lichtenberg, known for its village-like character and surrounding green spaces.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e227f393e08190be93400d754f0a2d completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000794e6c881909c4521e4dd031971 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:03 a.m.