Triple

T7100871
Position Surface form Disambiguated ID Type / Status
Subject Campus Berlin Buch E165454 entity
Predicate partOf P40 FINISHED
Object Pankow borough E93479 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: Pankow borough | Statement: [Campus Berlin Buch, partOf, Pankow borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pankow borough
Context triple: [Campus Berlin Buch, partOf, Pankow borough]
  • A. Pankow chosen
    Pankow is a northeastern borough of Berlin known for its mix of historic neighborhoods, green spaces, and the popular district of Prenzlauer Berg.
  • B. Treptow-Köpenick
    Treptow-Köpenick is Berlin’s largest and greenest borough, known for its extensive forests, lakes, and historic town centers such as Köpenick.
  • C. Friedrichswerder district
    Friedrichswerder district is a historic quarter in central Berlin, Germany, known for its 19th-century architecture and cultural landmarks.
  • D. Reinickendorf
    Reinickendorf is a borough in the northwest of Berlin, Germany, known for its mix of residential neighborhoods, industrial areas, and green spaces including parts of Lake Tegel.
  • 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.
  • 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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e586b7208190bab9429ded35ba4f completed March 27, 2026, 8:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c3c1a408190b2f3cdcf0eea43c7 completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 2:42 p.m.