Triple

T12036393
Position Surface form Disambiguated ID Type / Status
Subject Solingen E286549 entity
Predicate hasNotableCompany P19182 FINISHED
Object Böker
Böker is a renowned German manufacturer of knives and cutting tools, recognized worldwide for its high-quality craftsmanship and long tradition rooted in Solingen’s blade-making heritage.
E961076 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: Böker | Statement: [Solingen, hasNotableCompany, Böker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Böker
Context triple: [Solingen, hasNotableCompany, Böker]
  • A. Bokar
    Bokar is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • B. Boknal
    Boknal refers to the three hottest days of summer in South Korea, traditionally marked by eating stamina-boosting foods like samgyetang to combat the heat.
  • C. Bösperde
    Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
  • D. Bokn
    Bokn is a small island municipality in southwestern Norway known for its coastal landscape and location in Rogaland county.
  • E. Ottbergen
    Ottbergen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • 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: Böker
Triple: [Solingen, hasNotableCompany, Böker]
Generated description
Böker is a renowned German manufacturer of knives and cutting tools, recognized worldwide for its high-quality craftsmanship and long tradition rooted in Solingen’s blade-making heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Böker
Target entity description: Böker is a renowned German manufacturer of knives and cutting tools, recognized worldwide for its high-quality craftsmanship and long tradition rooted in Solingen’s blade-making heritage.
  • A. Bokar
    Bokar is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
  • B. Boknal
    Boknal refers to the three hottest days of summer in South Korea, traditionally marked by eating stamina-boosting foods like samgyetang to combat the heat.
  • C. Bösperde
    Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
  • D. Bokn
    Bokn is a small island municipality in southwestern Norway known for its coastal landscape and location in Rogaland county.
  • E. Ottbergen
    Ottbergen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • 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.