Triple

T19446901
Position Surface form Disambiguated ID Type / Status
Subject Eugendorf E486501 entity
Predicate hasSubdivision P747 FINISHED
Object Schwaighofen 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: Schwaighofen | Statement: [Eugendorf, hasSubdivision, Schwaighofen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwaighofen
Context triple: [Eugendorf, hasSubdivision, Schwaighofen]
  • A. Ellhofen
    Ellhofen is a small municipality in the German state of Baden-Württemberg, situated in the Heilbronn region and known for its wine-growing landscape.
  • B. Schwabniederhofen
    Schwabniederhofen is a small municipality located in the Weilheim-Schongau district of Bavaria in southern Germany.
  • C. Pfaffenweiler
    Pfaffenweiler is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau and known for its winegrowing and picturesque Black Forest surroundings.
  • D. Schwanstetten
    Schwanstetten is a municipality in the Roth district of Bavaria, Germany, known for its residential character and proximity to the city of Nuremberg.
  • E. Wehofen
    Wehofen is a district of the Walsum area in the city of Duisburg in North Rhine-Westphalia, Germany.
  • 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: Schwaighofen
Target entity description: Schwaighofen is a locality within the municipality of Eugendorf in the Austrian state of Salzburg.
  • A. Ellhofen
    Ellhofen is a small municipality in the German state of Baden-Württemberg, situated in the Heilbronn region and known for its wine-growing landscape.
  • B. Schwabniederhofen
    Schwabniederhofen is a small municipality located in the Weilheim-Schongau district of Bavaria in southern Germany.
  • C. Pfaffenweiler
    Pfaffenweiler is a small municipality in southwestern Germany’s Baden-Württemberg region, situated near Freiburg im Breisgau and known for its winegrowing and picturesque Black Forest surroundings.
  • D. Schwanstetten
    Schwanstetten is a municipality in the Roth district of Bavaria, Germany, known for its residential character and proximity to the city of Nuremberg.
  • E. Wehofen
    Wehofen is a district of the Walsum area in the city of Duisburg in North Rhine-Westphalia, Germany.
  • 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_69d8e8d7ad488190a3373045029b0f3b completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6338a22608190bb31a1690ca0dab6 completed April 20, 2026, 2:09 p.m.
Created at: April 10, 2026, 1:38 p.m.