Triple

T21287756
Position Surface form Disambiguated ID Type / Status
Subject Diepholz district E524705 entity
Predicate contains P35 FINISHED
Object Schwaförden NE NERFINISHED

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: Schwaförden | Statement: [Diepholz district, contains, Schwaförden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwaförden
Context triple: [Diepholz district, contains, Schwaförden]
  • A. Schwaförden chosen
    Schwaförden is a small locality in Lower Saxony, Germany, known as a rural community within the Diepholz district.
  • B. Ödsbach
    Ödsbach is a village and district of the town of Oberkirch in the Ortenau region of Baden-Württemberg, Germany, known for its scenic vineyards and Black Forest landscape.
  • C. Heroldsbach
    Heroldsbach is a small municipality in the Upper Franconia region of Bavaria, Germany, known for its rural character and local religious pilgrimage site.
  • D. Eschwege
    Eschwege is a small historic town in the German state of Hesse, known for its medieval architecture and location near the Werra River.
  • E. Königsbach
    Königsbach is a village and wine-growing district that forms part of the town of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d7c57c8190bc4180ea590a62d4 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.