Triple

T18520068
Position Surface form Disambiguated ID Type / Status
Subject Designated Market Area E452560 entity
Predicate hasAuthority P544 FINISHED
Object Nielsen Company NE NERFINISHED

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: Nielsen Company | Statement: [Designated Market Area, hasAuthority, Nielsen Company]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nielsen Company
Context triple: [Designated Market Area, hasAuthority, Nielsen Company]
  • A. Nielsen Company chosen
    Nielsen Company is a global measurement and data analytics firm best known for providing audience and consumer insights across media, entertainment, and retail industries.
  • B. Nielsen
    Nielsen is a common Scandinavian surname, particularly prevalent in Denmark and Norway, traditionally meaning "son of Niels."
  • C. Nielson
    Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
  • D. Kantar (historically)
    Kantar is a major global data, insights, and consulting company that was historically owned by the advertising and communications group WPP plc.
  • E. Flag Institute
    The Flag Institute is the United Kingdom’s principal vexillological and heraldic organization, known for researching, advising on, and maintaining records of British flags.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338ce7e481908ee69ffe4f30d5a4 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.