Triple

T16231542
Position Surface form Disambiguated ID Type / Status
Subject NRK P3 E393993 entity
Predicate network P2637 FINISHED
Object NRK radio E1138600 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: NRK radio | Statement: [NRK P3, network, NRK radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRK radio
Context triple: [NRK P3, network, NRK radio]
  • A. NRK Radio chosen
    NRK Radio is the Norwegian Broadcasting Corporation’s digital radio platform offering live streams and on-demand audio content across a wide range of channels and programs.
  • 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 Trøndelag
    NRK Trøndelag is the regional branch of the Norwegian public broadcaster NRK serving the Trøndelag area with local radio, television, and online content.
  • D. NRK P1
    NRK P1 is a major Norwegian national radio channel known for its broad appeal programming, including news, music, and entertainment.
  • E. NRK
    NRK is Norway’s public broadcasting corporation, known for producing and airing a wide range of national television and radio programming, including major sports events.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29fa248190943f4c3f7808908b completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:04 a.m.