Triple

T2630035
Position Surface form Disambiguated ID Type / Status
Subject Citytv E59609 entity
Predicate hasStation P35 FINISHED
Object CKEM-DT Edmonton
CKEM-DT Edmonton is a Canadian television station in Edmonton, Alberta, that serves as the local Citytv network affiliate.
 E59609 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: CKEM-DT Edmonton | Statement: [Citytv, hasStation, CKEM-DT Edmonton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CKEM-DT Edmonton
Context triple: [Citytv, hasStation, CKEM-DT Edmonton]
  • A. DZAQ-TV
    DZAQ-TV was the pioneering television station in the Philippines, marking the birth of Philippine television broadcasting.
  • B. Citytv
    Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
  • C. Edmonton
    Edmonton is the capital city of the Canadian province of Alberta, known for its major role in the energy sector and its extensive river valley park system.
  • D. Edmonton
    Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
  • E. CTV
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality 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: CKEM-DT Edmonton
Triple: [Citytv, hasStation, CKEM-DT Edmonton]
Generated description
CKEM-DT Edmonton is a Canadian television station in Edmonton, Alberta, that serves as the local Citytv network affiliate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CKEM-DT Edmonton
Target entity description: CKEM-DT Edmonton is a Canadian television station in Edmonton, Alberta, that serves as the local Citytv network affiliate.
  • A. DZAQ-TV
    DZAQ-TV was the pioneering television station in the Philippines, marking the birth of Philippine television broadcasting.
  • B. Citytv chosen
    Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
  • C. Edmonton
    Edmonton is the capital city of the Canadian province of Alberta, known for its major role in the energy sector and its extensive river valley park system.
  • D. Edmonton
    Edmonton is a historic suburban area in the London Borough of Enfield, formerly part of the county of Middlesex in England.
  • E. CTV
    CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c452508190b02e1630d725497a completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98b93a108190b21f4af3e8c16c2b completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af99f0fac8819084513685f5bc0c34 completed March 10, 2026, 4:11 a.m.
NED2 Entity disambiguation (via description) batch_69af9a71a7848190822e4cfe85fce35c completed March 10, 2026, 4:13 a.m.
Created at: March 6, 2026, 9:50 p.m.