Triple

T16073347
Position Surface form Disambiguated ID Type / Status
Subject NRK Trøndelag E389919 entity
Predicate hasPlatform P843 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 Trøndelag, hasPlatform, NRK Radio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRK Radio
Context triple: [NRK Trøndelag, hasPlatform, 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 Trøndelag
    NRK Trøndelag is the regional branch of the Norwegian public broadcaster NRK serving the Trøndelag area with local radio, television, and online content.
  • C. NRK P1
    NRK P1 is a major Norwegian national radio channel known for its broad appeal programming, including news, music, and entertainment.
  • D. NRK P3
    NRK P3 is a Norwegian national radio station aimed primarily at young listeners, featuring contemporary music, entertainment, and youth-oriented programming.
  • E. 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.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c0390c8190b0da263cccec14e5 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff299f14c8190a5f88754b6a78b1f completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:57 a.m.