Triple

T23247236
Position Surface form Disambiguated ID Type / Status
Subject Forchtenberg E581613 entity
Predicate formedByMergerOf P77 FINISHED
Object Wohlmuthausen
Wohlmuthausen is a small village in the German state of Baden-Württemberg that now forms part of the town of Forchtenberg.
E1587086 NE FINISHED

How this triple was built (4 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: Wohlmuthausen | Statement: [Forchtenberg, formedByMergerOf, Wohlmuthausen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wohlmuthausen
Context triple: [Forchtenberg, formedByMergerOf, Wohlmuthausen]
  • A. Weipertshausen
    Weipertshausen is a small locality that forms part of the municipality of Münsing in Bavaria, Germany.
  • B. Helmarshausen
    Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
  • C. Lamprechtshausen
    Lamprechtshausen is a municipality in the Austrian state of Salzburg, known for its rural character and location within the Salzburg-Umgebung region.
  • D. Wittighausen
    Wittighausen is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
  • E. Wolpertshausen
    Wolpertshausen is a small rural municipality in the German state of Baden-Württemberg, known for its agricultural character and location within the Hohenlohe region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wohlmuthausen
Triple: [Forchtenberg, formedByMergerOf, Wohlmuthausen]
Generated description
Wohlmuthausen is a small village in the German state of Baden-Württemberg that now forms part of the town of Forchtenberg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wohlmuthausen
Target entity description: Wohlmuthausen is a small village in the German state of Baden-Württemberg that now forms part of the town of Forchtenberg.
  • A. Weipertshausen
    Weipertshausen is a small locality that forms part of the municipality of Münsing in Bavaria, Germany.
  • B. Helmarshausen
    Helmarshausen is a historic district of the spa town Bad Karlshafen in northern Hesse, Germany, known for its medieval heritage and former Benedictine monastery.
  • C. Lamprechtshausen
    Lamprechtshausen is a municipality in the Austrian state of Salzburg, known for its rural character and location within the Salzburg-Umgebung region.
  • D. Wittighausen
    Wittighausen is a small municipality in the Main-Tauber district of Baden-Württemberg in southern Germany.
  • E. Wolpertshausen
    Wolpertshausen is a small rural municipality in the German state of Baden-Württemberg, known for its agricultural character and location within the Hohenlohe region.
  • F. None of above. chosen

Provenance (5 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_69e24606b17c81908aba1a4911c8a8ba completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193f1e8448190b8420a8dc6e24576 completed April 29, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c677be46c81909d8df13e48239dcb completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c72132a608190b44c96de39b7187a completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c770386a8819098358513016ae5ab completed May 19, 2026, 2:43 p.m.
Created at: April 17, 2026, 4:10 p.m.