Triple

T16283899
Position Surface form Disambiguated ID Type / Status
Subject NRK Rogaland E395339 entity
Predicate partOf P40 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 Rogaland, partOf, NRK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRK
Context triple: [NRK Rogaland, partOf, 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24912c5808190a0d9c9f491315068 completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002da0a2908190923e61bdeb92567d completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:05 a.m.