Triple

T14651584
Position Surface form Disambiguated ID Type / Status
Subject TSN1 E343998 entity
Predicate sisterChannel P5818 FINISHED
Object TSN4
TSN4 is a Canadian specialty sports television channel that forms part of The Sports Network’s regional feed lineup.
 E343998 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: TSN4 | Statement: [TSN1, sisterChannel, TSN4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TSN4
Context triple: [TSN1, sisterChannel, TSN4]
  • A. TSN
    TSN is the IATA airport code for Tianjin Binhai International Airport, the main air gateway serving the city of Tianjin in northern China.
  • B. TSN
    TSN is the stock ticker symbol for Tyson Foods, Inc., a major American multinational food company known primarily for its meat processing and poultry products.
  • C. TSN
    TSN is a set of IEEE Ethernet standards that enable deterministic, low-latency, and reliable communication for real-time and industrial networking applications.
  • D. TSN
    TSN is a major Canadian English-language sports television network known for broadcasting a wide range of professional and collegiate sports, including NBA games and other premier events.
  • E. TSN1
    TSN1 is a Canadian English-language sports television channel operated by The Sports Network, featuring live sports coverage, analysis, and related programming.
  • 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: TSN4
Triple: [TSN1, sisterChannel, TSN4]
Generated description
TSN4 is a Canadian specialty sports television channel that forms part of The Sports Network’s regional feed lineup.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TSN4
Target entity description: TSN4 is a Canadian specialty sports television channel that forms part of The Sports Network’s regional feed lineup.
  • A. TSN
    TSN is the IATA airport code for Tianjin Binhai International Airport, the main air gateway serving the city of Tianjin in northern China.
  • B. TSN
    TSN is the stock ticker symbol for Tyson Foods, Inc., a major American multinational food company known primarily for its meat processing and poultry products.
  • C. TSN
    TSN is a set of IEEE Ethernet standards that enable deterministic, low-latency, and reliable communication for real-time and industrial networking applications.
  • D. TSN
    TSN is a major Canadian English-language sports television network known for broadcasting a wide range of professional and collegiate sports, including NBA games and other premier events.
  • E. TSN1 chosen
    TSN1 is a Canadian English-language sports television channel operated by The Sports Network, featuring live sports coverage, analysis, and related programming.
  • F. None of above.

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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb517e7648190b9fc73d6cdbb68de completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5d9ab188190934deb57fd6d9a56 completed May 8, 2026, 12:23 p.m.
NEDg Description generation batch_69fdd6b2f6148190bb91d55833308d5f completed May 8, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_69fdd77fdc608190a89e4dbf5ce4b695 completed May 8, 2026, 12:30 p.m.
Created at: April 10, 2026, 1:27 a.m.