Triple

T19785599
Position Surface form Disambiguated ID Type / Status
Subject district of Rastatt E475255 entity
Predicate contains P35 FINISHED
Object municipality of Ötigheim 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: municipality of Ötigheim | Statement: [district of Rastatt, contains, municipality of Ötigheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: municipality of Ötigheim
Context triple: [district of Rastatt, contains, municipality of Ötigheim]
  • A. municipality of Vaihingen an der Enz
    The municipality of Vaihingen an der Enz is a town in the German state of Baden-Württemberg, situated along the Enz River and known for its historic center and surrounding wine-growing region.
  • B. municipality of Deitingen
    The municipality of Deitingen is a local administrative community in the canton of Solothurn in Switzerland.
  • C. municipality of Leibertingen
    The municipality of Leibertingen is a small rural community in the state of Baden-Württemberg in southwestern Germany, known for its scenic location on the Swabian Jura plateau.
  • D. municipality of Vilgertshofen
    The municipality of Vilgertshofen is a small rural community in Bavaria, Germany, known for its agricultural character and village setting within the Upper Bavarian region.
  • E. Oggersheim district
    Oggersheim district is an urban district of Ludwigshafen am Rhein in Rhineland-Palatinate, Germany, known for its residential areas and historical sites.
  • 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: municipality of Ötigheim
Target entity description: The municipality of Ötigheim is a small local community in the German state of Baden-Württemberg, known for its rural character and regional cultural activities.
  • A. municipality of Vaihingen an der Enz
    The municipality of Vaihingen an der Enz is a town in the German state of Baden-Württemberg, situated along the Enz River and known for its historic center and surrounding wine-growing region.
  • B. municipality of Deitingen
    The municipality of Deitingen is a local administrative community in the canton of Solothurn in Switzerland.
  • C. municipality of Leibertingen
    The municipality of Leibertingen is a small rural community in the state of Baden-Württemberg in southwestern Germany, known for its scenic location on the Swabian Jura plateau.
  • D. municipality of Vilgertshofen
    The municipality of Vilgertshofen is a small rural community in Bavaria, Germany, known for its agricultural character and village setting within the Upper Bavarian region.
  • E. Oggersheim district
    Oggersheim district is an urban district of Ludwigshafen am Rhein in Rhineland-Palatinate, Germany, known for its residential areas and historical sites.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65387d3348190a31f9c2f9bc1c6d9 completed April 20, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:49 p.m.