Triple

T10656058
Position Surface form Disambiguated ID Type / Status
Subject SVT1 E251089 entity
Predicate sisterChannel P5818 FINISHED
Object Kunskapskanalen E251091 NE FINISHED

How this triple was built (2 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: Kunskapskanalen | Statement: [SVT1, sisterChannel, Kunskapskanalen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunskapskanalen
Context triple: [SVT1, sisterChannel, Kunskapskanalen]
  • A. Kunskapskanalen chosen
    Kunskapskanalen is a Swedish television channel focused on educational, factual, and cultural programming.
  • B. The Learning Channel
    The Learning Channel is an American cable television network, now known simply as TLC, that features reality-based lifestyle, family, and personal stories programming.
  • C. Kanal
    "Kanal" is a 1979 Turkish political drama film directed by Erden Kıral, best known for starring acclaimed actor Tarık Akan.
  • D. Kanal
    "Kanal" is a 1957 Polish war film directed by Andrzej Wajda that portrays the tragic fate of Home Army soldiers during the final days of the Warsaw Uprising.
  • E. Sveriges Television
    Sveriges Television is Sweden's national public television broadcaster, known for producing and airing a wide range of news, cultural, and entertainment programming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d98857ec248190bb655d36981a000a completed April 10, 2026, 11:31 p.m.
Created at: April 8, 2026, 9:07 p.m.