Triple

T696781
Position Surface form Disambiguated ID Type / Status
Subject Steglitz-Zehlendorf E13910 entity
Predicate borderedBy P224 FINISHED
Object Potsdam-Mittelmark 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: Potsdam-Mittelmark | Statement: [Steglitz-Zehlendorf, borderedBy, Potsdam-Mittelmark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Potsdam-Mittelmark
Context triple: [Steglitz-Zehlendorf, borderedBy, Potsdam-Mittelmark]
  • A. Anhalt-Zerbst
    Anhalt-Zerbst was a small principality within the Holy Roman Empire, historically notable as the homeland of Catherine the Great and a source of German auxiliary troops in the 18th century.
  • B. Oberhavel (district) chosen
    Oberhavel is a rural district in the German state of Brandenburg, known for its lakes, forests, and proximity to northern Berlin.
  • C. 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.
  • D. Göttingen district
    Göttingen district is an administrative district in southern Lower Saxony, Germany, known for encompassing the university city of Göttingen and surrounding rural areas.
  • E. Uckermark
    Uckermark is a rural historical region in northeastern Germany, known for its lakes, forests, and low population density, located primarily in the state of Brandenburg.
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c8055881909565ebde2be8fd7a completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf498af4819085d494f85adf0825 completed March 4, 2026, 6:20 a.m.
Created at: March 1, 2026, 7:36 p.m.