Triple

T2811194
Position Surface form Disambiguated ID Type / Status
Subject MLS Cup 2013 E54173 entity
Predicate broadcastNetworkCanada P833 FINISHED
Object TSN2
TSN2 is a Canadian English-language sports television channel owned by The Sports Network (TSN) that broadcasts a wide range of live sporting events and related programming.
E302215 NE FINISHED

How this triple was built (4 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: TSN2 | Statement: [MLS Cup 2013, broadcastNetworkCanada, TSN2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TSN2
Context triple: [MLS Cup 2013, broadcastNetworkCanada, TSN2]
  • A. TSN
    TSN is a set of IEEE Ethernet standards that enable deterministic, low-latency, and reliable communication for real-time and industrial networking applications.
  • B. TSE
    TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
  • C. Tiges
    Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: TSN2
Triple: [MLS Cup 2013, broadcastNetworkCanada, TSN2]
Generated description
TSN2 is a Canadian English-language sports television channel owned by The Sports Network (TSN) that broadcasts a wide range of live sporting events and related programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TSN2
Target entity description: TSN2 is a Canadian English-language sports television channel owned by The Sports Network (TSN) that broadcasts a wide range of live sporting events and related programming.
  • A. TSN
    TSN is a set of IEEE Ethernet standards that enable deterministic, low-latency, and reliable communication for real-time and industrial networking applications.
  • B. TSE
    TSE is the primary stock exchange in Japan and one of the largest securities markets in the world, located in Tokyo.
  • C. Tiges
    Tiges is a popular nickname for the Richmond Football Club, an Australian rules football team in the AFL.
  • D. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • E. GTS
    GTS is an abbreviation commonly used for the Global Telecommunication System, an international network for exchanging meteorological data.
  • F. None of above. chosen

Provenance (5 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde354a5881908cd3d545f7dda81c completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9a76388190a5dce756de2eb59f completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afd0b179ac8190a260003b9a457180 completed March 10, 2026, 8:05 a.m.
NED2 Entity disambiguation (via description) batch_69afd10b07748190935cce94cd9b2a13 completed March 10, 2026, 8:06 a.m.
Created at: March 6, 2026, 9:59 p.m.