Triple

T10656113
Position Surface form Disambiguated ID Type / Status
Subject Kunskapskanalen E251091 entity
Predicate operator P179 FINISHED
Object UR
UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
 E877762 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: UR | Statement: [Kunskapskanalen, operator, UR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UR
Context triple: [Kunskapskanalen, operator, UR]
  • A. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • B. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • C. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • D. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • E. UL
    UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
  • 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: UR
Triple: [Kunskapskanalen, operator, UR]
Generated description
UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UR
Target entity description: UR (Utbildningsradion) is Sweden’s public educational broadcasting company, producing and distributing educational radio, TV, and digital content.
  • A. UR
    UR is the commonly used abbreviation for the University of Redlands, a private liberal arts university in Redlands, California.
  • B. UR
    UR is the vehicle registration code used on license plates for vehicles registered in the Swiss canton of Uri.
  • C. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • D. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • E. UL
    UL is the vehicle registration code for the district that includes the municipality of Lauterach in Austria.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dffa73a08190bf661df600b4ab96 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a7aa490819094c7eaf3fc5e2c43 completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97ef6d9a881909d688cb8c948f491 completed April 10, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_69d97f700f188190808fcf2f14403980 completed April 10, 2026, 10:53 p.m.
Created at: April 8, 2026, 9:07 p.m.