Triple

T18128400
Position Surface form Disambiguated ID Type / Status
Subject Landkreis Neustadt an der Aisch-Bad Windsheim E433942 entity
Predicate borderedBy P224 FINISHED
Object Landkreis Bamberg NE NERFINISHED

How this triple was built (3 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: Landkreis Bamberg | Statement: [Landkreis Neustadt an der Aisch-Bad Windsheim, borderedBy, Landkreis Bamberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Landkreis Bamberg
Context triple: [Landkreis Neustadt an der Aisch-Bad Windsheim, borderedBy, Landkreis Bamberg]
  • A. Landkreis Fürth
    Landkreis Fürth is a rural district in the Bavarian region of Middle Franconia in Germany, surrounding but not including the city of Fürth and comprising several towns and municipalities.
  • B. Landkreis Augsburg
    Landkreis Augsburg is a rural district in the Bavarian region of Swabia in southern Germany, surrounding but not including the city of Augsburg and comprising numerous towns and villages.
  • C. Landkreis Passau
    Landkreis Passau is a rural district in Lower Bavaria, Germany, known for its proximity to the city of Passau and its location along the Austrian border.
  • D. Landkreis Günzburg
    Landkreis Günzburg is a rural district in the Bavarian region of Swabia in southern Germany, known for its historic towns and proximity to the Danube River.
  • E. Landkreis Deggendorf
    Landkreis Deggendorf is a rural district in Lower Bavaria, Germany, known for its location along the Danube River and its mix of industrial centers and scenic countryside.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Landkreis Bamberg
Target entity description: Landkreis Bamberg is a rural district in the Upper Franconia region of Bavaria, Germany, known for its picturesque landscapes, historic towns, and proximity to the UNESCO-listed city of Bamberg.
  • A. Landkreis Fürth
    Landkreis Fürth is a rural district in the Bavarian region of Middle Franconia in Germany, surrounding but not including the city of Fürth and comprising several towns and municipalities.
  • B. Landkreis Augsburg
    Landkreis Augsburg is a rural district in the Bavarian region of Swabia in southern Germany, surrounding but not including the city of Augsburg and comprising numerous towns and villages.
  • C. Landkreis Passau
    Landkreis Passau is a rural district in Lower Bavaria, Germany, known for its proximity to the city of Passau and its location along the Austrian border.
  • D. Landkreis Günzburg
    Landkreis Günzburg is a rural district in the Bavarian region of Swabia in southern Germany, known for its historic towns and proximity to the Danube River.
  • E. Landkreis Deggendorf
    Landkreis Deggendorf is a rural district in Lower Bavaria, Germany, known for its location along the Danube River and its mix of industrial centers and scenic countryside.
  • F. None of above. chosen

Provenance (2 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf061b48190b67356f1c266b80a completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:29 a.m.