Triple

T14378274
Position Surface form Disambiguated ID Type / Status
Subject MTV Oy E356530 entity
Predicate operates P24 FINISHED
Object AVA
AVA is a Finnish television channel known for targeting primarily female audiences with lifestyle, drama, and entertainment programming.
 E1095990 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: AVA | Statement: [MTV Oy, operates, AVA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AVA
Context triple: [MTV Oy, operates, AVA]
  • A. AVA
    AVA is the ICAO airline designator used to identify Avianca, the flag carrier of Colombia, in international aviation operations.
  • B. AVA
    AVA is a song featured on the album "TattleTales."
  • C. AVA
    AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
  • D. AV
    AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
  • E. AV
    AV is the Italian vehicle registration code assigned to the province of Avellino in the Campania region.
  • 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: AVA
Triple: [MTV Oy, operates, AVA]
Generated description
AVA is a Finnish television channel known for targeting primarily female audiences with lifestyle, drama, and entertainment programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AVA
Target entity description: AVA is a Finnish television channel known for targeting primarily female audiences with lifestyle, drama, and entertainment programming.
  • A. AVA
    AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
  • B. AVA
    AVA is the ICAO airline designator used to identify Avianca, the flag carrier of Colombia, in international aviation operations.
  • C. AVA
    AVA is a song featured on the album "TattleTales."
  • D. AV
    AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
  • E. AV
    AV is the Italian vehicle registration code assigned to the province of Avellino in the Campania region.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900a67e08190ab1dcf36e6bb3405 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5728fc819089ef3c7c34b10101 completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e4bae188190a8d1c5b833d58cd8 completed May 8, 2026, 2:45 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f5782b4819081d32dbef032ac61 completed May 8, 2026, 2:49 a.m.
Created at: April 10, 2026, 1:16 a.m.