Triple

T13942191
Position Surface form Disambiguated ID Type / Status
Subject TVA Sports E335283 entity
Predicate sisterChannel P5818 FINISHED
Object LCN
LCN (Le Canal Nouvelles) is a Canadian French-language 24-hour all-news television channel owned by Groupe TVA.
 E1070484 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: LCN | Statement: [TVA Sports, sisterChannel, LCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LCN
Context triple: [TVA Sports, sisterChannel, LCN]
  • A. LCN
    LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
  • B. LCN
    LCN, short for La Cosa Nostra, is a notorious Italian-American organized crime syndicate known for its hierarchical structure, code of silence, and influence over various illegal enterprises in the United States.
  • C. LCNC
    LCNC is the ICAO airport code assigned to Nicosia International Airport in Cyprus.
  • D. LNC
    LNC is the FAA location identifier for Lancaster Regional Airport in Lancaster, Texas, United States.
  • E. LNC
    LNC is the National Rail station code for Lancaster railway station in Lancashire, England.
  • 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: LCN
Triple: [TVA Sports, sisterChannel, LCN]
Generated description
LCN (Le Canal Nouvelles) is a Canadian French-language 24-hour all-news television channel owned by Groupe TVA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LCN
Target entity description: LCN (Le Canal Nouvelles) is a Canadian French-language 24-hour all-news television channel owned by Groupe TVA.
  • A. LCN
    LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
  • B. LCN
    LCN, short for La Cosa Nostra, is a notorious Italian-American organized crime syndicate known for its hierarchical structure, code of silence, and influence over various illegal enterprises in the United States.
  • C. LCNC
    LCNC is the ICAO airport code assigned to Nicosia International Airport in Cyprus.
  • D. LNC
    LNC is the National Rail station code for Lancaster railway station in Lancashire, England.
  • E. LNC
    LNC is the FAA location identifier for Lancaster Regional Airport in Lancaster, Texas, United States.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf6e29881908ddb8efca9a456a3 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce8bbd8c819084703298ed6d9c87 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb14bfa2c081908381bb74f040c6c8 completed May 6, 2026, 10:15 a.m.
Created at: April 9, 2026, 10:17 p.m.