Triple

T8727051
Position Surface form Disambiguated ID Type / Status
Subject Friedrichsfelde E207154 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Biesdorf
Biesdorf is a residential district in eastern Berlin, Germany, known for its mix of post-war housing estates, green spaces, and historic village core.
E760420 NE FINISHED

How this triple was built (4 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: Biesdorf | Statement: [Friedrichsfelde, hasNeighbourhood, Biesdorf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biesdorf
Context triple: [Friedrichsfelde, hasNeighbourhood, Biesdorf]
  • A. 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.
  • B. Biendorf
    Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
  • C. Stedesdorf
    Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
  • D. Heinersdorf
    Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
  • E. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Biesdorf
Triple: [Friedrichsfelde, hasNeighbourhood, Biesdorf]
Generated description
Biesdorf is a residential district in eastern Berlin, Germany, known for its mix of post-war housing estates, green spaces, and historic village core.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biesdorf
Target entity description: Biesdorf is a residential district in eastern Berlin, Germany, known for its mix of post-war housing estates, green spaces, and historic village core.
  • A. 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.
  • B. Biendorf
    Biendorf is a small municipality in northern Germany notable as the birthplace of German Field Marshal Helmuth von Moltke the Younger.
  • C. Stedesdorf
    Stedesdorf is a small municipality in Lower Saxony, Germany, situated in the East Frisian region.
  • D. Heinersdorf
    Heinersdorf is a residential locality in the borough of Pankow in Berlin, Germany, known for its suburban character and proximity to the city center.
  • E. Burkhardtsdorf
    Burkhardtsdorf is a small municipality in the Erzgebirge (Ore Mountains) region of Saxony, eastern Germany.
  • F. None of above. chosen

Provenance (5 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d16cba881908e2a14b60ae65524 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf88cf76888190a0cdab7f30c791c7 completed April 3, 2026, 9:30 a.m.
NEDg Description generation batch_69cf8a3d8e548190911d44ee36875d44 completed April 3, 2026, 9:37 a.m.
NED2 Entity disambiguation (via description) batch_69cf8ae86e1881908a77f660c061bf69 completed April 3, 2026, 9:39 a.m.
Created at: March 30, 2026, 6:37 p.m.