Triple

T12036396
Position Surface form Disambiguated ID Type / Status
Subject Solingen E286549 entity
Predicate hasNotableCompany P19182 FINISHED
Object DOVO Solingen
DOVO Solingen is a renowned German manufacturer of high-quality razors, scissors, and other cutting tools, particularly famous for its traditional straight razors.
 E961077 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: DOVO Solingen | Statement: [Solingen, hasNotableCompany, DOVO Solingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DOVO Solingen
Context triple: [Solingen, hasNotableCompany, DOVO Solingen]
  • A. Ruhrstahl
    Ruhrstahl was a German armaments manufacturer best known for producing advanced World War II munitions and guided weapons.
  • B. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • C. Sandvik
    Sandvik is a coastal village on the island of Öland in southeastern Sweden, known for its historic windmill and scenic Baltic Sea shoreline.
  • D. Sandvik
    Sandvik is a Swedish multinational engineering group specializing in advanced tools, mining and construction equipment, and materials technology.
  • E. Stahl
    Stahl is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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: DOVO Solingen
Triple: [Solingen, hasNotableCompany, DOVO Solingen]
Generated description
DOVO Solingen is a renowned German manufacturer of high-quality razors, scissors, and other cutting tools, particularly famous for its traditional straight razors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DOVO Solingen
Target entity description: DOVO Solingen is a renowned German manufacturer of high-quality razors, scissors, and other cutting tools, particularly famous for its traditional straight razors.
  • A. Ruhrstahl
    Ruhrstahl was a German armaments manufacturer best known for producing advanced World War II munitions and guided weapons.
  • B. Wieck
    Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
  • C. Sandvik
    Sandvik is a coastal village on the island of Öland in southeastern Sweden, known for its historic windmill and scenic Baltic Sea shoreline.
  • D. Sandvik
    Sandvik is a Swedish multinational engineering group specializing in advanced tools, mining and construction equipment, and materials technology.
  • E. Stahl
    Stahl is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90408cbf0819093270c9833ef149a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d7d453c8190a27c5feca8f38991 completed May 1, 2026, 12:33 p.m.
NEDg Description generation batch_69f53d930714819080f92d223d930389 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56495830c8190ad5e1767f251b4c5 completed May 2, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:47 p.m.