Triple

T16984198
Position Surface form Disambiguated ID Type / Status
Subject Niederschönhausen E412020 entity
Predicate locatedIn P40 FINISHED
Object Berlin-Pankow electoral district (historical/administrative context)
The Berlin-Pankow electoral district is a German parliamentary constituency in the northeast of Berlin that encompasses several boroughs, including Niederschönhausen, and serves as a unit for electing representatives to the Bundestag.
 E1243929 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: Berlin-Pankow electoral district (historical/administrative context) | Statement: [Niederschönhausen, locatedIn, Berlin-Pankow electoral district (historical/administrative context)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Berlin-Pankow electoral district (historical/administrative context)
Context triple: [Niederschönhausen, locatedIn, Berlin-Pankow electoral district (historical/administrative context)]
  • A. Bundestag electoral districts
    Bundestag electoral districts are the geographically defined constituencies in Germany from which members are elected to the federal parliament (Bundestag).
  • B. Babelsberg district
    Babelsberg district is a historic quarter of Potsdam, Germany, known for its film studios, lakeside villas, and well-preserved 19th- and early 20th-century architecture.
  • C. Bezirk Berlin
    Bezirk Berlin was an administrative district of East Germany that encompassed the eastern part of Berlin during the period of German division.
  • D. Oder-Spree district
    Oder-Spree district is a rural administrative district in the eastern German state of Brandenburg, known for its lakes, forests, and proximity to the Polish border.
  • E. Berliner Bezirk Spandau
    Berliner Bezirk Spandau is a historic western district of Berlin, Germany, known for its medieval old town, Spandau Citadel fortress, and mix of residential, industrial, and green areas along the Havel River.
  • 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: Berlin-Pankow electoral district (historical/administrative context)
Triple: [Niederschönhausen, locatedIn, Berlin-Pankow electoral district (historical/administrative context)]
Generated description
The Berlin-Pankow electoral district is a German parliamentary constituency in the northeast of Berlin that encompasses several boroughs, including Niederschönhausen, and serves as a unit for electing representatives to the Bundestag.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Berlin-Pankow electoral district (historical/administrative context)
Target entity description: The Berlin-Pankow electoral district is a German parliamentary constituency in the northeast of Berlin that encompasses several boroughs, including Niederschönhausen, and serves as a unit for electing representatives to the Bundestag.
  • A. Bundestag electoral districts
    Bundestag electoral districts are the geographically defined constituencies in Germany from which members are elected to the federal parliament (Bundestag).
  • B. Babelsberg district
    Babelsberg district is a historic quarter of Potsdam, Germany, known for its film studios, lakeside villas, and well-preserved 19th- and early 20th-century architecture.
  • C. Bezirk Berlin
    Bezirk Berlin was an administrative district of East Germany that encompassed the eastern part of Berlin during the period of German division.
  • D. Oder-Spree district
    Oder-Spree district is a rural administrative district in the eastern German state of Brandenburg, known for its lakes, forests, and proximity to the Polish border.
  • E. Berliner Bezirk Spandau
    Berliner Bezirk Spandau is a historic western district of Berlin, Germany, known for its medieval old town, Spandau Citadel fortress, and mix of residential, industrial, and green areas along the Havel River.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d18a0bf881908c449f499eb86495 completed April 18, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc0f13c88190b55da5be40a0a476 completed May 10, 2026, 7:27 p.m.
NEDg Description generation batch_6a00dc96a9588190b020fd7fd1deee2b completed May 10, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0114e04e00819093805024f8417fad completed May 10, 2026, 11:29 p.m.
Created at: April 10, 2026, 5:32 a.m.