Triple

T3686009
Position Surface form Disambiguated ID Type / Status
Subject Spandau E78225 entity
Predicate borderedBy P224 FINISHED
Object Oberhavel district E78334 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: Oberhavel district | Statement: [Spandau, borderedBy, Oberhavel district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oberhavel district
Context triple: [Spandau, borderedBy, Oberhavel district]
  • A. Oberhavel (district) chosen
    Oberhavel is a rural district in the German state of Brandenburg, known for its lakes, forests, and proximity to northern Berlin.
  • B. Potsdam-Mittelmark
    Potsdam-Mittelmark is a district in the German state of Brandenburg known for its historic towns, cultural landmarks, and proximity to the city of Potsdam.
  • C. Bezirk Schwerin
    Bezirk Schwerin was an administrative district in the former East Germany, centered around the city of Schwerin and existing from the 1952 territorial reform until German reunification in 1990.
  • D. Bezirk Neubrandenburg
    Bezirk Neubrandenburg was an administrative district in the former East Germany, centered on the city of Neubrandenburg in the northeastern part of the country.
  • E. Weimarer Land district
    Weimarer Land district is a rural administrative district in the German state of Thuringia, surrounding the city of Weimar and known for its cultural landscapes and historical sites.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daffd6bc81908ac7a4b8b4073bc0 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:26 p.m.