Triple

T22337347
Position Surface form Disambiguated ID Type / Status
Subject Raleigh–Durham–Fayetteville television market E552184 entity
Predicate measuredBy P24236 FINISHED
Object Nielsen 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 | Statement: [Raleigh–Durham–Fayetteville television market, measuredBy, Nielsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nielsen
Context triple: [Raleigh–Durham–Fayetteville television market, measuredBy, Nielsen]
  • A. Nielsen
    Nielsen is a common Scandinavian surname, particularly prevalent in Denmark and Norway, traditionally meaning "son of Niels."
  • B. Nielson
    Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
  • C. 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.
  • 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. Gallup
    Gallup is a small city in northwestern New Mexico known as a historic stop along Route 66 and a cultural center for Native American art and trading.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157804e60819094e2a903ace6f4b2 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.