Triple

T12629944
Position Surface form Disambiguated ID Type / Status
Subject CJCL E301612 entity
Predicate sisterStation P15137 FINISHED
Object CKIS-FM
CKIS-FM is a Toronto-based Canadian radio station best known for its contemporary hit music format and branding as KiSS 92.5.
E992500 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: CKIS-FM | Statement: [CJCL, sisterStation, CKIS-FM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CKIS-FM
Context triple: [CJCL, sisterStation, CKIS-FM]
  • A. KFSH-FM
    KFSH-FM is a Southern California radio station best known for its contemporary Christian music format and branding as "The Fish."
  • B. KBFM
    KBFM is the ICAO airport code for Mobile Downtown Airport, a public airport serving the city of Mobile, Alabama, in the United States.
  • C. CKFM-FM
    CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
  • D. KCIU
    KCIU is the ICAO airport code for Chippewa County International Airport, a public airport serving the Sault Ste. Marie region in Michigan, United States.
  • E. KENW-FM
    KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural 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: CKIS-FM
Triple: [CJCL, sisterStation, CKIS-FM]
Generated description
CKIS-FM is a Toronto-based Canadian radio station best known for its contemporary hit music format and branding as KiSS 92.5.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CKIS-FM
Target entity description: CKIS-FM is a Toronto-based Canadian radio station best known for its contemporary hit music format and branding as KiSS 92.5.
  • A. KFSH-FM
    KFSH-FM is a Southern California radio station best known for its contemporary Christian music format and branding as "The Fish."
  • B. KBFM
    KBFM is the ICAO airport code for Mobile Downtown Airport, a public airport serving the city of Mobile, Alabama, in the United States.
  • C. CKFM-FM
    CKFM-FM is a Toronto-based Canadian radio station, best known as the contemporary hit music outlet branded as 99.9 Virgin Radio.
  • D. KCIU
    KCIU is the ICAO airport code for Chippewa County International Airport, a public airport serving the Sault Ste. Marie region in Michigan, United States.
  • E. KENW-FM
    KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural programming.
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610ce9e48190a496824002c0d2be completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65edafc7c819088bd641542a32e39 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f660bc541c8190a4d1d7a4cc959ecf completed May 2, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69f6617997188190bfce14c54619af7f completed May 2, 2026, 8:41 p.m.
Created at: April 9, 2026, 5:15 p.m.