Triple

T20708366
Position Surface form Disambiguated ID Type / Status
Subject TV 2 (Norway) E508965 entity
Predicate hasPart P35 FINISHED
Object TV 2 Sport 1 NE NERFINISHED

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: TV 2 Sport 1 | Statement: [TV 2 (Norway), hasPart, TV 2 Sport 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV 2 Sport 1
Context triple: [TV 2 (Norway), hasPart, TV 2 Sport 1]
  • A. O2 TV Sport
    O2 TV Sport is a Czech sports television channel known for broadcasting major domestic and international sporting events, including top-tier ice hockey and football competitions.
  • B. TVP Sport
    TVP Sport is a Polish public television channel dedicated to sports coverage, including live broadcasts of major domestic and international competitions.
  • C. Eurosport 2
    Eurosport 2 is a European sports television channel offering additional and niche sports coverage as a sister network to the main Eurosport channel.
  • D. TV 2 Norway chosen
    TV 2 Norway is a major Norwegian television network known for broadcasting popular national sports, news, and entertainment programming.
  • E. Sky Sport
    Sky Sport is an Italian group of pay-TV sports channels operated by Sky Italia, known for broadcasting major national and international sporting events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c40ad88190b81f77695366d328 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1952e888190877b79933970f7b0 completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:14 p.m.