Triple

T4189412
Position Surface form Disambiguated ID Type / Status
Subject BUF E88995 entity
Predicate usedByBroadcaster P16302 FINISHED
Object Sportsnet E54584 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: Sportsnet | Statement: [BUF, usedByBroadcaster, Sportsnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sportsnet
Context triple: [BUF, usedByBroadcaster, Sportsnet]
  • A. Sportsnet chosen
    Sportsnet is a Canadian sports television network owned by Rogers Sports & Media that broadcasts a wide range of live sports, including Major League Baseball, NHL hockey, and other national and regional events.
  • B. Sportsnet World
    Sportsnet World is a Canadian specialty television channel focused on international soccer, rugby, and other global sports programming.
  • C. Sportsnet 590 The FAN
    Sportsnet 590 The FAN is a Toronto-based all-sports radio station known for its comprehensive coverage of local teams and major sporting events.
  • D. Réseau des sports
    Réseau des sports is a Canadian French-language specialty television channel focused on broadcasting sports events and related programming.
  • E. The Sports Network
    The Sports Network (TSN) is a Canadian English-language sports television network known for broadcasting major national and international sporting events, sports news, and analysis.
  • 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_69aed9569a4481908b6c1fcec2a11e21 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0b2db368819080c1d652b4acfd0c completed March 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a05e634819094bbe145f86d8786 completed March 14, 2026, 4:17 p.m.
Created at: March 9, 2026, 3:46 p.m.