Triple

T6684923
Position Surface form Disambiguated ID Type / Status
Subject Dock House E152076 entity
Predicate usedBy P260 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: [Dock House, usedBy, CBeebies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBeebies
Context triple: [Dock House, usedBy, 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. BabyTV
    BabyTV is an international television channel dedicated to educational and entertaining programming for babies, toddlers, and preschool-aged children.
  • D. 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.
  • E. Blue’s Clues
    Blue’s Clues is an American children’s television series that became a landmark in educational programming for its interactive format, direct address to preschool viewers, and influential use of repetition and problem-solving.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b12483948190ba426076919edc48 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7007ad59c8190a752d9b1152c3435 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:04 p.m.