Triple

T862648
Position Surface form Disambiguated ID Type / Status
Subject Fritt Ords Pris E18630 entity
Predicate notableRecipient P108 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: [Fritt Ords Pris, notableRecipient, NRK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRK
Context triple: [Fritt Ords Pris, notableRecipient, NRK]
  • A. 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.
  • B. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • C. NRO
    NRO is the United States government agency responsible for designing, building, and operating the nation’s reconnaissance satellites and related intelligence systems.
  • D. Nye
    Nye is the surname of Bill Nye, the American science educator, mechanical engineer, and television presenter widely known as "Bill Nye the Science Guy."
  • E. NWR
    NWR is the U.S. nationwide network of NOAA-operated radio stations that continuously broadcast weather forecasts, warnings, and emergency information.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac67d4d481909487d3edb3e46936 completed March 1, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3c5c15c8190a91eb3746007ebf5 completed March 4, 2026, 3:15 a.m.
Created at: March 1, 2026, 7:39 p.m.