Triple

T4415451
Position Surface form Disambiguated ID Type / Status
Subject OTT E94958 entity
Predicate usedBy P260 FINISHED
Object TSN E99215 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: TSN | Statement: [OTT, usedBy, TSN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSN
Context triple: [OTT, usedBy, TSN]
  • A. TSN chosen
    TSN is a set of IEEE Ethernet standards that enable deterministic, low-latency, and reliable communication for real-time and industrial networking applications.
  • B. TSN1
    TSN1 is a Canadian English-language sports television channel operated by The Sports Network, featuring live sports coverage, analysis, and related programming.
  • C. Sportsnet
    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.
  • D. Réseau des sports
    Réseau des sports is a Canadian French-language specialty television channel focused on broadcasting sports events and related programming.
  • E. TSN Theatre
    TSN Theatre is a dedicated screening venue within the Hockey Hall of Fame that showcases hockey-related films, highlights, and multimedia presentations.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354eabb2481908ad10d21e1379e7f completed March 13, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f61b56a8819099b5302f1b53f76d completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:29 p.m.