Triple

T2279078
Position Surface form Disambiguated ID Type / Status
Subject Sveriges Television E51238 entity
Predicate operatesChannel P5884 FINISHED
Object SVT Barn
SVT Barn is a Swedish public television channel from Sveriges Television that focuses on programming for children and young audiences.
 E251086 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: SVT Barn | Statement: [Sveriges Television, operatesChannel, SVT Barn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVT Barn
Context triple: [Sveriges Television, operatesChannel, SVT Barn]
  • A. SVT
    SVT (Special Vehicle Team) is Ford Motor Company's high-performance division responsible for developing enhanced, limited-production models like the Cobra R.
  • B. SVT
    SVT is Sweden's national public television broadcaster, known for providing news, entertainment, and cultural programming.
  • C. SVT1
    SVT1 is a major Swedish public television channel known for news, current affairs, and a broad range of general-interest programming.
  • D. SVT2
    SVT2 is a Swedish public television channel known for its focus on culture, current affairs, and minority-language programming.
  • E. Saab Kockums
    Saab Kockums is a Swedish shipyard and defense company best known for designing and building advanced submarines and naval vessels.
  • 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: SVT Barn
Triple: [Sveriges Television, operatesChannel, SVT Barn]
Generated description
SVT Barn is a Swedish public television channel from Sveriges Television that focuses on programming for children and young audiences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVT Barn
Target entity description: SVT Barn is a Swedish public television channel from Sveriges Television that focuses on programming for children and young audiences.
  • A. SVT
    SVT (Special Vehicle Team) is Ford Motor Company's high-performance division responsible for developing enhanced, limited-production models like the Cobra R.
  • B. SVT chosen
    SVT is Sweden's national public television broadcaster, known for providing news, entertainment, and cultural programming.
  • C. SVT1
    SVT1 is a major Swedish public television channel known for news, current affairs, and a broad range of general-interest programming.
  • D. SVT2
    SVT2 is a Swedish public television channel known for its focus on culture, current affairs, and minority-language programming.
  • E. Saab Kockums
    Saab Kockums is a Swedish shipyard and defense company best known for designing and building advanced submarines and naval vessels.
  • F. None of above.

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_69a88b08e4308190bdac9aebcca1c91a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc2194150819083156e4dcd45a423 completed March 7, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f11ea248190be3092985edcb29b completed March 9, 2026, 8:04 a.m.
NEDg Description generation batch_69ae80be3354819088486da5e4c05909 completed March 9, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae8171d1fc8190bc95d1eedc629294 completed March 9, 2026, 8:14 a.m.
Created at: March 4, 2026, 7:48 p.m.