Triple

T6280033
Position Surface form Disambiguated ID Type / Status
Subject Talpa Media E140756 entity
Predicate hasSubsidiary P254 FINISHED
Object Talpa International E583126 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: Talpa International | Statement: [Talpa Media, hasSubsidiary, Talpa International]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talpa International
Context triple: [Talpa Media, hasSubsidiary, Talpa International]
  • A. Talpa Global chosen
    Talpa Global is the international distribution and licensing arm of Talpa Media, responsible for bringing its television formats and content to markets worldwide.
  • B. Talx Corporation
    Talx Corporation is a workforce solutions and employment verification company that operates as a subsidiary of Equifax Inc.
  • C. Talpa Media
    Talpa Media is a Dutch television production company best known for creating international reality and talent show formats such as "The Voice."
  • D. TAP Group
    TAP Group is the holding company that owns and oversees TAP Air Portugal and its related aviation and travel businesses.
  • E. Aunus Group
    The Aunus Group was a Finnish military formation that operated on the eastern front during World War II, particularly in the region of East Karelia.
  • 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_69c008cc158881908df6ec94a911c736 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063ddb3a4819083455f6da854f8a9 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e411332481908ffff37cad062cce completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:26 p.m.