Triple

T21437820
Position Surface form Disambiguated ID Type / Status
Subject Rheinfelden (Baden) E528859 entity
Predicate hasSubdivision P747 FINISHED
Object Degerfelden
Degerfelden is a village and district of the town Rheinfelden (Baden) in the state of Baden-Württemberg in southwestern Germany.
E1485130 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: Degerfelden | Statement: [Rheinfelden (Baden), hasSubdivision, Degerfelden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Degerfelden
Context triple: [Rheinfelden (Baden), hasSubdivision, Degerfelden]
  • A. Diedesfeld
    Diedesfeld is a wine-growing district and local subdivision of Neustadt an der Weinstraße in the Rhineland-Palatinate region of Germany.
  • B. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Sommerfelde
    Sommerfelde is a locality within the town of Eberswalde in the state of Brandenburg, Germany.
  • D. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • E. Kranichfeld
    Kranichfeld is a small historic town in the German state of Thuringia, known for its castles and scenic location in the Ilm valley.
  • 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: Degerfelden
Triple: [Rheinfelden (Baden), hasSubdivision, Degerfelden]
Generated description
Degerfelden is a village and district of the town Rheinfelden (Baden) in the state of Baden-Württemberg in southwestern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Degerfelden
Target entity description: Degerfelden is a village and district of the town Rheinfelden (Baden) in the state of Baden-Württemberg in southwestern Germany.
  • A. Diedesfeld
    Diedesfeld is a wine-growing district and local subdivision of Neustadt an der Weinstraße in the Rhineland-Palatinate region of Germany.
  • B. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • C. Sommerfelde
    Sommerfelde is a locality within the town of Eberswalde in the state of Brandenburg, Germany.
  • D. Niederfeld
    Niederfeld is a district within the Mannheim borough of Neckarau in the German state of Baden-Württemberg.
  • E. Kranichfeld
    Kranichfeld is a small historic town in the German state of Thuringia, known for its castles and scenic location in the Ilm valley.
  • 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_69e0c4569fa081908101baa24f8745db completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b53972e48190bc8bbc543173854c completed April 22, 2026, 11:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09c8fd41d08190a28e5efa6880b879 completed May 17, 2026, 1:56 p.m.
NEDg Description generation batch_6a09c97c16c88190ba27f2431fb8d8d3 completed May 17, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_6a09ca639d74819094f368d15c1e7a1a completed May 17, 2026, 2:02 p.m.
Created at: April 16, 2026, 6:03 p.m.