Triple

T12951146
Position Surface form Disambiguated ID Type / Status
Subject BBC Content E309894 entity
Predicate overseesService P5884 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: [BBC Content, overseesService, CBeebies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBeebies
Context triple: [BBC Content, overseesService, 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. CBeebies Land
    CBeebies Land is a themed children’s area at the Alton Towers Resort in the UK, featuring rides, shows, and interactive attractions based on the BBC’s CBeebies television characters.
  • D. BabyTV
    BabyTV is an international television channel dedicated to educational and entertaining programming for babies, toddlers, and preschool-aged children.
  • E. 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.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1dc4c88190ab27b832d6a7c556 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8d9669c819090471eb7e035d83d completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:43 p.m.