Triple

T19692880
Position Surface form Disambiguated ID Type / Status
Subject Trouw E472879 entity
Predicate publisher P29 FINISHED
Object DPG Media 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: DPG Media | Statement: [Trouw, publisher, DPG Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DPG Media
Context triple: [Trouw, publisher, DPG Media]
  • A. DPG Media chosen
    DPG Media is a major Belgian-Dutch media company that owns and operates numerous newspapers, magazines, online platforms, and broadcasting outlets across the Benelux region.
  • B. DPG
    DPG is the commonly used abbreviation for the German Physical Society, one of the world’s largest and oldest organizations dedicated to advancing physics research and education.
  • C. Outfront Media
    Outfront Media is a major American outdoor advertising company specializing in billboards, transit displays, and other out-of-home media across the United States and Canada.
  • D. DMG Media
    DMG Media is a major British media company best known for owning and operating the Daily Mail, Mail on Sunday, and other newspaper and digital news brands.
  • E. Adastra Media Group
    Adastra Media Group is a media production company known for producing music-related and documentary-style content such as the film "Best of the Beatles."
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64211e5d481908358d922e0dca271 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.