Triple

T15999061
Position Surface form Disambiguated ID Type / Status
Subject NRK Hordaland E388049 entity
Predicate network P2637 FINISHED
Object NRK E83353 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 | Statement: [NRK Hordaland, network, NRK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRK
Context triple: [NRK Hordaland, network, NRK]
  • A. NRK
    NRK is the commonly used abbreviation for the Netherlands Red Cross, the Dutch national society of the International Red Cross and Red Crescent Movement.
  • B. NRK
    NRK is the National Rail station code for Newark North Gate railway station in Nottinghamshire, England.
  • C. NRK chosen
    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.
  • D. NRK Radio
    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.
  • E. NRK P1
    NRK P1 is a major Norwegian national radio channel known for its broad appeal programming, including news, music, and entertainment.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1578a0adc819097c6a23514182173 completed April 16, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1edc7c81908fdd0fa00418d7a7 completed May 10, 2026, 12:19 a.m.
Created at: April 10, 2026, 4:55 a.m.