Triple

T10666215
Position Surface form Disambiguated ID Type / Status
Subject FC Kairat E251363 entity
Predicate shortName P43 FINISHED
Object Kairat
Kairat is a professional football club based in Almaty, Kazakhstan, known for competing in the country’s top football division.
 E965198 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: Kairat | Statement: [FC Kairat, shortName, Kairat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kairat
Context triple: [FC Kairat, shortName, Kairat]
  • A. 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.
  • B. Astana
    Astana is the planned, modernist capital city of Kazakhstan, known for its futuristic architecture and rapid development since the late 20th century.
  • C. Kokshetau
    Kokshetau is a city in northern Kazakhstan that serves as the administrative and economic center of the surrounding Akmola Region.
  • D. Almaty
    Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
  • E. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • 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: Kairat
Triple: [FC Kairat, shortName, Kairat]
Generated description
Kairat is a professional football club based in Almaty, Kazakhstan, known for competing in the country’s top football division.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kairat
Target entity description: Kairat is a professional football club based in Almaty, Kazakhstan, known for competing in the country’s top football division.
  • A. 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.
  • B. Astana
    Astana is the planned, modernist capital city of Kazakhstan, known for its futuristic architecture and rapid development since the late 20th century.
  • C. Kokshetau
    Kokshetau is a city in northern Kazakhstan that serves as the administrative and economic center of the surrounding Akmola Region.
  • D. Almaty
    Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
  • E. Karaganda
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31f87748190bb44db8afa901763 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f62d41448190ab65fb9c81d4d673 completed May 2, 2026, 1:03 p.m.
NEDg Description generation batch_69f600b51f488190a85a8f10f190b3c0 completed May 2, 2026, 1:48 p.m.
NED2 Entity disambiguation (via description) batch_69f601ebaa448190ba59485d9d7d68d1 completed May 2, 2026, 1:53 p.m.
Created at: April 8, 2026, 9:08 p.m.