Triple

T2827956
Position Surface form Disambiguated ID Type / Status
Subject Sportsnet 590 The FAN E54968 entity
Predicate formerName P65 FINISHED
Object CJCL
CJCL is a Toronto-based AM radio station that evolved into Sportsnet 590 The FAN, a prominent all-sports broadcaster in Canada.
 E301612 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: CJCL | Statement: [Sportsnet 590 The FAN, formerName, CJCL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CJCL
Context triple: [Sportsnet 590 The FAN, formerName, CJCL]
  • A. CJUE
    CJUE is the French acronym for the Court of Justice of the European Union, the EU’s highest judicial authority responsible for interpreting EU law and ensuring its uniform application across member states.
  • B. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • C. CJI
    CJI is the commonly used abbreviation for the Chief Justice of India, the head of the Indian judiciary and the Supreme Court of India.
  • D. BCJ
    BCJ is a renowned American architecture firm known for its innovative, modern designs and high-profile projects, including numerous Apple Stores.
  • E. CJF
    CJF is the abbreviation for Mexico’s Federal Judiciary Council, the body responsible for overseeing and administering the federal court system.
  • 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: CJCL
Triple: [Sportsnet 590 The FAN, formerName, CJCL]
Generated description
CJCL is a Toronto-based AM radio station that evolved into Sportsnet 590 The FAN, a prominent all-sports broadcaster in Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CJCL
Target entity description: CJCL is a Toronto-based AM radio station that evolved into Sportsnet 590 The FAN, a prominent all-sports broadcaster in Canada.
  • A. CJUE
    CJUE is the French acronym for the Court of Justice of the European Union, the EU’s highest judicial authority responsible for interpreting EU law and ensuring its uniform application across member states.
  • B. CJC
    CJC is the IATA airport code for El Loa Airport serving the city of Calama in northern Chile.
  • C. CJI
    CJI is the commonly used abbreviation for the Chief Justice of India, the head of the Indian judiciary and the Supreme Court of India.
  • D. BCJ
    BCJ is a renowned American architecture firm known for its innovative, modern designs and high-profile projects, including numerous Apple Stores.
  • E. CJF
    CJF is the abbreviation for Mexico’s Federal Judiciary Council, the body responsible for overseeing and administering the federal court system.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde95d8148190bcae8b0659a5c116 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69afceb20c508190ba87e102ba250a00 completed March 10, 2026, 7:56 a.m.
NEDg Description generation batch_69afcf8b032c8190b5fe0777bb0283ee completed March 10, 2026, 8 a.m.
NED2 Entity disambiguation (via description) batch_69afcfe8a140819095daa37d539e4c72 completed March 10, 2026, 8:01 a.m.
Created at: March 6, 2026, 9:59 p.m.