Triple

T18500438
Position Surface form Disambiguated ID Type / Status
Subject RTS Radio E452051 entity
Predicate hasPart P35 FINISHED
Object RTS Option Musique E110102 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: RTS Option Musique | Statement: [RTS Radio, hasPart, RTS Option Musique]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: RTS Option Musique
Context triple: [RTS Radio, hasPart, RTS Option Musique]
  • A. Option Musique chosen
    Option Musique is a Swiss radio station operated by Radio Télévision Suisse that focuses on popular music programming.
  • B. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • C. VK Music
    VK Music is a Russian music streaming and audio platform integrated into the VK social network, offering on-demand listening, playlists, and recommendations.
  • D. Music Land
    Music Land is a 1935 Disney Silly Symphonies animated short that humorously depicts a musical romance between characters from the Land of Symphony and the Isle of Jazz.
  • E. RTL Play
    RTL Play is a streaming and on-demand digital entertainment platform operated by the European media company RTL Group.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c43de48190b49b87c1bb591016 completed April 19, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a047141e8208190b240a11ae3b02ec0 completed May 13, 2026, 12:40 p.m.
Created at: April 10, 2026, 11:36 a.m.