Triple

T397248
Position Surface form Disambiguated ID Type / Status
Subject Kazakhstan E9209 entity
Predicate formerCapital P3417 FINISHED
Object Almaty
Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
 E50745 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: Almaty | Statement: [Kazakhstan, formerCapital, Almaty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Almaty
Context triple: [Kazakhstan, formerCapital, Almaty]
  • A. Astana
    Astana is the planned, modernist capital city of Kazakhstan, known for its futuristic architecture and rapid development since the late 20th century.
  • B. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • C. Ulaanbaatar
    Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
  • D. Yekaterinburg
    Yekaterinburg is a major industrial and cultural city in Russia’s Ural region, historically known as the site of the execution of the last Russian tsar, Nicholas II, and his family.
  • E. Ankara
    Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
  • 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: Almaty
Triple: [Kazakhstan, formerCapital, Almaty]
Generated description
Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Almaty
Target entity description: Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
  • A. Astana
    Astana is the planned, modernist capital city of Kazakhstan, known for its futuristic architecture and rapid development since the late 20th century.
  • B. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • C. Ulaanbaatar
    Ulaanbaatar is the capital and largest city of Mongolia, serving as its political, economic, and cultural center.
  • D. Yekaterinburg
    Yekaterinburg is a major industrial and cultural city in Russia’s Ural region, historically known as the site of the execution of the last Russian tsar, Nicholas II, and his family.
  • E. Ankara
    Ankara is the political and administrative center of Turkey, known for hosting the country’s government institutions and foreign embassies.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ec8bcf708190b62e15806159ceb1 completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4103d84bc819095f95ce4ce915114 completed March 1, 2026, 10:09 a.m.
NEDg Description generation batch_69a410a87f4c8190916688197abc1f16 completed March 1, 2026, 10:10 a.m.
NED2 Entity disambiguation (via description) batch_69a410ff91e08190959720b0315a7989 completed March 1, 2026, 10:12 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.