Triple

T14378248
Position Surface form Disambiguated ID Type / Status
Subject Yle TV channels E356529 entity
Predicate hasChannel P8080 FINISHED
Object Yle Teema & Fem HD E72608 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 Teema & Fem HD | Statement: [Yle TV channels, hasChannel, Yle Teema & Fem HD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yle Teema & Fem HD
Context triple: [Yle TV channels, hasChannel, Yle Teema & Fem HD]
  • A. Yle Teema & Fem chosen
    Yle Teema & Fem is a Finnish public television channel combining Yle’s cultural and educational programming with Swedish-language content for bilingual audiences.
  • B. Yle Fem
    Yle Fem was a Finnish Swedish-language television channel operated by the national public broadcaster Yle, focusing on programming for the Swedish-speaking minority in Finland.
  • C. YleX
    YleX is a Finnish national radio station aimed primarily at young audiences, focusing on contemporary music, pop culture, and entertainment.
  • D. Yle Areena streaming service
    Yle Areena is Finland’s national public broadcasting streaming platform operated by Yle, offering live and on-demand TV, radio, and online content.
  • E. YTEM
    YTEM is the ICAO airport code for Temora Airport, a regional airfield located in Temora, New South Wales, Australia.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:16 a.m.