Triple

T15213109
Position Surface form Disambiguated ID Type / Status
Subject Yle Uutiset E363566 entity
Predicate partOf P40 FINISHED
Object Yle E365225 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: Yle | Statement: [Yle Uutiset, partOf, Yle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yle
Context triple: [Yle Uutiset, partOf, Yle]
  • A. Yle chosen
    Yle is Finland’s national public broadcasting company, providing television, radio, and online services in Finnish, Swedish, and other languages.
  • B. YleX
    YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
  • C. Yle Puhe
    Yle Puhe is a Finnish Yle radio channel focused on talk programming, including news, current affairs, culture, and in-depth discussions.
  • D. Yle Radio Suomi
    Yle Radio Suomi is Finland’s largest national radio channel, offering news, current affairs, culture, and entertainment programming in Finnish to audiences across the country.
  • E. Yle Lapset
    Yle Lapset is Yleisradio’s dedicated children’s media service, offering age-appropriate TV and digital content for young audiences in Finland.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076c9e2481909d7a464b2172f4bf completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed341cfb8819086b386c6cb905eda completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.