Triple

T3778010
Position Surface form Disambiguated ID Type / Status
Subject NRK E83353 entity
Predicate operatesChannel P5884 FINISHED
Object NRK Super 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 Super | Statement: [NRK, operatesChannel, NRK Super]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NRK Super
Context triple: [NRK, operatesChannel, NRK Super]
  • 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. RNR
    RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
  • C. NR SR
    NR SR is the commonly used abbreviation for the National Council of the Slovak Republic, the unicameral legislative body and primary lawmaking institution of Slovakia.
  • D. NR
    NR is the two-letter ISO 3166-1 alpha-2 country code assigned to the Republic of Nauru.
  • E. NR
    NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5d3dbc8190b6ab118a56acd5a3 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f03d3df48190a4b2382059b7bb24 completed March 14, 2026, 5:21 a.m.
Created at: March 8, 2026, 3:36 p.m.