Triple

T18504633
Position Surface form Disambiguated ID Type / Status
Subject Next Plateau Records E452167 entity
Predicate signedArtist P16560 FINISHED
Object TKA
TKA is an American Latin freestyle music group best known for their late-1980s club and radio hits in the freestyle and dance-pop genres.
E1327888 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: TKA | Statement: [Next Plateau Records, signedArtist, TKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TKA
Context triple: [Next Plateau Records, signedArtist, TKA]
  • A. TKA
    TKA is the three-letter IATA airport code for Talkeetna Airport in Talkeetna, Alaska, a small regional hub often used for flightseeing tours to Denali.
  • B. TKA
    TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
  • C. THA
    THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
  • D. THA
    THA is the National Rail station code for Thatcham railway station in Berkshire, England.
  • E. TKR
    TKR is the abbreviated name of the People's Security Army, a military or paramilitary organization associated with internal security and defense.
  • 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: TKA
Triple: [Next Plateau Records, signedArtist, TKA]
Generated description
TKA is an American Latin freestyle music group best known for their late-1980s club and radio hits in the freestyle and dance-pop genres.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TKA
Target entity description: TKA is an American Latin freestyle music group best known for their late-1980s club and radio hits in the freestyle and dance-pop genres.
  • A. TKA
    TKA is a regional vehicle registration code used on license plates for cars registered in the Kazimierza Wielka area of Poland.
  • B. TKA
    TKA is the three-letter IATA airport code for Talkeetna Airport in Talkeetna, Alaska, a small regional hub often used for flightseeing tours to Denali.
  • C. THA
    THA is the three-letter ISO 3166-1 alpha-3 country code representing Thailand.
  • D. THA
    THA is the National Rail station code for Thatcham railway station in Berkshire, England.
  • E. TKR
    TKR is the abbreviated name of the People's Security Army, a military or paramilitary organization associated with internal security and defense.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53341063c81908361b0eb78794145 completed April 19, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0471456b348190a6bf62f1614f3d07 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a0472fee3a88190aa0cb5a8ff0af66a completed May 13, 2026, 12:47 p.m.
NED2 Entity disambiguation (via description) batch_6a0473fa3c5c8190aad12a5d952a796a completed May 13, 2026, 12:52 p.m.
Created at: April 10, 2026, 11:36 a.m.