Triple

T6624501
Position Surface form Disambiguated ID Type / Status
Subject Schweinfurt region E149760 entity
Predicate containsTown P847 FINISHED
Object Sulzheim
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
E661284 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: Sulzheim | Statement: [Schweinfurt region, containsTown, Sulzheim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sulzheim
Context triple: [Schweinfurt region, containsTown, Sulzheim]
  • A. Hersbruck
    Hersbruck is a small historic town in the Franconian region of Bavaria, Germany, known for its picturesque setting in the Pegnitz Valley and traditional Bavarian architecture.
  • B. Schweinheim
    Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
  • C. Lülsfeld
    Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • D. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • E. Schambach
    Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
  • 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: Sulzheim
Triple: [Schweinfurt region, containsTown, Sulzheim]
Generated description
Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sulzheim
Target entity description: Sulzheim is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • A. Hersbruck
    Hersbruck is a small historic town in the Franconian region of Bavaria, Germany, known for its picturesque setting in the Pegnitz Valley and traditional Bavarian architecture.
  • B. Schweinheim
    Schweinheim is a residential district within the Bad Godesberg borough of Bonn in western Germany.
  • C. Lülsfeld
    Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
  • D. Marlenheim
    Marlenheim is a commune in northeastern France’s Alsace region, known as a historic wine-producing village and gateway to the area’s renowned vineyards and scenic countryside.
  • E. Schambach
    Schambach is a small river in Bavaria, Germany, that flows into the Altmühl as one of its tributaries.
  • 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_69c687ed8a9c81908bb671717cb192ef completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af7fc054819099a2e58cefd8fed7 completed March 27, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8109adff8819081426b44ae70bdfb completed March 28, 2026, 5:32 p.m.
NEDg Description generation batch_69c811a94bd48190b9102aa7d4f1dde8 completed March 28, 2026, 5:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8127599188190af3d049a0c6dd349 completed March 28, 2026, 5:40 p.m.
Created at: March 27, 2026, 1:58 p.m.