Triple

T2202472
Position Surface form Disambiguated ID Type / Status
Subject Astana E50521 entity
Predicate formerName P65 FINISHED
Object Akmolinsk
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
 E276106 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: Akmolinsk | Statement: [Astana, formerName, Akmolinsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Akmolinsk
Context triple: [Astana, formerName, Akmolinsk]
  • A. Karachayevsk
    Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
  • B. Novonikolaevsk
    Novonikolaevsk was a major early 20th-century city in Siberia—now known as Novosibirsk—that served as an important administrative and military center during the Russian Civil War.
  • C. Salekhard
    Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
  • D. Pavlodar
    Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
  • E. Zheleznogorsk-Ilimsky
    Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
  • 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: Akmolinsk
Triple: [Astana, formerName, Akmolinsk]
Generated description
Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Akmolinsk
Target entity description: Akmolinsk is the former name of Kazakhstan’s capital city, now known as Astana.
  • A. Karachayevsk
    Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
  • B. Novonikolaevsk
    Novonikolaevsk was a major early 20th-century city in Siberia—now known as Novosibirsk—that served as an important administrative and military center during the Russian Civil War.
  • C. Salekhard
    Salekhard is a Russian Arctic city located on the Ob River and notable as the only city in the world situated directly on the Arctic Circle.
  • D. Pavlodar
    Pavlodar is a major industrial and cultural city in northeastern Kazakhstan, located on the Irtysh River.
  • E. Zheleznogorsk-Ilimsky
    Zheleznogorsk-Ilimsky is a small industrial town in Russia known for its mining and forestry-related industries.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa33f0881908403604eafb73ecf completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b5d9b7c8190a3c87ffacc486512 completed March 9, 2026, 8:19 p.m.
NEDg Description generation batch_69af514d5e648190b4fbb1c1247d490d completed March 9, 2026, 11:01 p.m.
NED2 Entity disambiguation (via description) batch_69af5509ce1881909169a529b4f835eb completed March 9, 2026, 11:17 p.m.
Created at: March 4, 2026, 7:46 p.m.