Triple

T17705144
Position Surface form Disambiguated ID Type / Status
Subject Desso E441410 entity
Predicate foundedAs P364 FINISHED
Object De Bergoss
De Bergoss was a historic Dutch carpet and flooring manufacturer that later became part of the company now known as Desso.
E1283826 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: De Bergoss | Statement: [Desso, foundedAs, De Bergoss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: De Bergoss
Context triple: [Desso, foundedAs, De Bergoss]
  • A. Silfverberg
    Silfverberg is a Swedish surname most notably associated with professional ice hockey player Jakob Silfverberg.
  • B. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • C. Gilserberg
    Gilserberg is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • D. Bocksberg
    Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
  • E. Burggen
    Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern 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: De Bergoss
Triple: [Desso, foundedAs, De Bergoss]
Generated description
De Bergoss was a historic Dutch carpet and flooring manufacturer that later became part of the company now known as Desso.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: De Bergoss
Target entity description: De Bergoss was a historic Dutch carpet and flooring manufacturer that later became part of the company now known as Desso.
  • A. Silfverberg
    Silfverberg is a Swedish surname most notably associated with professional ice hockey player Jakob Silfverberg.
  • B. Dverberg
    Dverberg is a small village and former municipal center located on the island of Andøya in Nordland county, Norway.
  • C. Gilserberg
    Gilserberg is a small municipality in the German state of Hesse, known for its rural character and location within the Schwalm-Eder district.
  • D. Bocksberg
    Bocksberg is a mountain in the Harz region of Germany, known for its hiking trails, winter sports facilities, and scenic views near the village of Hahnenklee.
  • E. Burggen
    Burggen is a small rural municipality in the Bavarian region of Upper Bavaria in southern 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47297359481909629c79220e58245 completed April 19, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023022e50881908a617d2f80e00956 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0231b6005c8190a1d7aa10a61fa7b9 completed May 11, 2026, 7:44 p.m.
NED2 Entity disambiguation (via description) batch_6a023228e064819095b1d73d0fd2c3c2 completed May 11, 2026, 7:46 p.m.
Created at: April 10, 2026, 10:05 a.m.