Triple

T3371850
Position Surface form Disambiguated ID Type / Status
Subject CBBC E70972 entity
Predicate hasSisterChannel P6991 FINISHED
Object CBeebies E71373 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: CBeebies | Statement: [CBBC, hasSisterChannel, CBeebies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBeebies
Context triple: [CBBC, hasSisterChannel, CBeebies]
  • A. CBeebies chosen
    CBeebies is a BBC television channel in the UK dedicated to educational and entertaining programming for preschool-aged children.
  • B. CBBC
    CBBC is the BBC’s dedicated television channel for children, offering a wide range of entertainment, educational, and drama programming primarily aimed at viewers aged 6 to 12.
  • C. CITV
    CITV is a British children's television channel and programming block operated by ITV, featuring a wide range of kids' shows and animated series.
  • D. ABC Kids World
    ABC Kids World is a children's themed area within the Dreamworld amusement park in Australia, featuring attractions and entertainment based on ABC Kids television characters and programs.
  • E. CBC Kids
    CBC Kids is the Canadian Broadcasting Corporation’s children’s programming brand, offering educational and entertaining content for young audiences across TV and digital platforms.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bc9bc881908b22edd631a1c110 completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:13 p.m.