Triple

T3295377
Position Surface form Disambiguated ID Type / Status
Subject The Sports Network E69201 entity
Predicate hasSisterChannel P6991 FINISHED
Object CTV E184110 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: CTV | Statement: [The Sports Network, hasSisterChannel, CTV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CTV
Context triple: [The Sports Network, hasSisterChannel, CTV]
  • A. CTV chosen
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
  • B. CTV
    CTV, short for Corpo Truppe Volontarie, was the Italian volunteer expeditionary force sent by Mussolini to support Francisco Franco’s Nationalists during the Spanish Civil War.
  • C. Citytv
    Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
  • D. CBC
    CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
  • E. CJMT-DT Toronto
    CJMT-DT Toronto is a Canadian multicultural television station serving the Greater Toronto Area and operating as part of the Citytv network.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb077c60c81909782be5202ce5a43 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e86e867c8190a1e5042a4d4d92cb completed March 12, 2026, 4:23 p.m.
Created at: March 8, 2026, 3:10 p.m.