Triple

T15886139
Position Surface form Disambiguated ID Type / Status
Subject Kairat Abdrakhmanov E385196 entity
Predicate givenName P17 FINISHED
Object Kairat E965198 NE FINISHED

How this triple was built (2 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: Kairat | Statement: [Kairat Abdrakhmanov, givenName, Kairat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kairat
Context triple: [Kairat Abdrakhmanov, givenName, Kairat]
  • A. Kairat chosen
    Kairat is a professional football club based in Almaty, Kazakhstan, known for competing in the country’s top football division.
  • B. Astana–Almaty
    Astana–Almaty refers to the joint hosting arrangement by Kazakhstan’s capital Astana (now Nur-Sultan) and its largest city Almaty for major international events, notably the 2011 Asian Winter Games.
  • C. Astana
    Astana is the planned, modernist capital city of Kazakhstan, known for its futuristic architecture and rapid development since the late 20th century.
  • D. Kokshetau
    Kokshetau is a city in northern Kazakhstan that serves as the administrative and economic center of the surrounding Akmola Region.
  • E. Zhezkazgan
    Zhezkazgan is a major industrial and mining city in central Kazakhstan, known especially for its large copper deposits and metallurgical complex.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da5b800819083a31be937d738b0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1561a68d8819099e60e2f1f0db07a completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa95651f88190a9aac72a667b999f completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.