Triple

T3147880
Position Surface form Disambiguated ID Type / Status
Subject European Broadcasting Union E65805 entity
Predicate membershipIncludes P121 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: [European Broadcasting Union, membershipIncludes, NRK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRK
Context triple: [European Broadcasting Union, membershipIncludes, 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 commonly used abbreviation for the Nordic Council, a regional inter-parliamentary body for cooperation among the Nordic countries.
  • C. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • D. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • E. NDR
    NDR is a high-speed generation of InfiniBand networking technology designed to deliver extremely high bandwidth and low latency for data centers and high-performance computing environments.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada59a54188190a2e020fd4004d734 completed March 8, 2026, 4:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235bad36c8190ab93312950380d36 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:05 p.m.