Triple

T15886151
Position Surface form Disambiguated ID Type / Status
Subject Kairat Abdrakhmanov E385196 entity
Predicate workLocation P7 FINISHED
Object Astana E50521 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: Astana | Statement: [Kairat Abdrakhmanov, workLocation, Astana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astana
Context triple: [Kairat Abdrakhmanov, workLocation, Astana]
  • A. Astana chosen
    Astana is the planned, modernist capital city of Kazakhstan, known for its futuristic architecture and rapid development since the late 20th century.
  • 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. Kairat
    Kairat is a professional football club based in Almaty, Kazakhstan, known for competing in the country’s top football division.
  • D. Nur-Sultan
    Nur-Sultan is the planned capital city of Kazakhstan, known for its rapid modern development and distinctive futuristic architecture.
  • E. Almaty
    Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
  • 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_69ffb04598e0819094274868941195b9 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:51 a.m.