Triple

T13349909
Position Surface form Disambiguated ID Type / Status
Subject 1947 Kenneth Arnold sighting E318042 entity
Predicate hasPressCoverage P97545 FINISHED
Object extensive national newspaper coverage in the United States LITERAL 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: extensive national newspaper coverage in the United States | Statement: [1947 Kenneth Arnold sighting, hasPressCoverage, extensive national newspaper coverage in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPressCoverage
Context triple: [1947 Kenneth Arnold sighting, hasPressCoverage, extensive national newspaper coverage in the United States]
  • A. hasMediaCoverageSince
    Indicates that an entity has had media coverage starting from a specified point in time and continuing from then onward.
  • B. hasMediaCoverageLevel chosen
    Indicates the degree or extent to which something is covered or reported on by media outlets.
  • C. hasPublisherCoverage
    Indicates that a publisher provides content, services, or distribution that extend over or apply to a specified entity or area.
  • D. hasMediaCoverageTopic
    Indicates that a piece of media coverage is about, focused on, or thematically related to a particular topic.
  • E. mediaCoverage
    Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
  • F. None of above.

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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99e8c2f1c819094f0970f35f18afa completed April 11, 2026, 1:06 a.m.
PD Predicate disambiguation batch_69d98f6e53d88190bd6aa42f69b10ffb completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:31 p.m.