Triple

T20708374
Position Surface form Disambiguated ID Type / Status
Subject TV 2 (Norway) E508965 entity
Predicate notableProgram P4 FINISHED
Object TV 2 Nyhetene 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 Nyhetene | Statement: [TV 2 (Norway), notableProgram, TV 2 Nyhetene]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TV 2 Nyhetene
Context triple: [TV 2 (Norway), notableProgram, TV 2 Nyhetene]
  • A. TV 2 Norway chosen
    TV 2 Norway is a major Norwegian television network known for broadcasting popular national sports, news, and entertainment programming.
  • B. NRK Nyheter
    NRK Nyheter is the news division of Norway’s public broadcaster, providing national and international news across TV, radio, and digital platforms.
  • C. NRK P2
    NRK P2 is a Norwegian public radio channel known for its focus on culture, classical music, and in-depth news and current affairs programming.
  • D. NRK.no
    NRK.no is the Norwegian Broadcasting Corporation’s main online news and media portal, offering national and regional content including articles, live streams, and on-demand programs.
  • E. Norwegian Broadcasting Corporation
    The Norwegian Broadcasting Corporation is Norway’s public service broadcaster, operating national television, radio, and online services.
  • 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.