Triple

T11182717
Position Surface form Disambiguated ID Type / Status
Subject Sary-Arka Airport E264579 entity
Predicate servesPopulationCenter P2106 FINISHED
Object Karaganda metropolitan area E52322 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: Karaganda metropolitan area | Statement: [Sary-Arka Airport, servesPopulationCenter, Karaganda metropolitan area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaganda metropolitan area
Context triple: [Sary-Arka Airport, servesPopulationCenter, Karaganda metropolitan area]
  • A. Karaganda chosen
    Karaganda is a large industrial city in central Kazakhstan known for its coal mining industry and Soviet-era history.
  • B. Almaty
    Almaty is the largest city and main commercial and cultural center of Kazakhstan, located in the country’s mountainous southeast.
  • C. Karaganda Region
    Karaganda Region is a large industrial and mining region in central Kazakhstan, known especially for its coal production and steppe landscapes.
  • D. Kokshetau
    Kokshetau is a city in northern Kazakhstan that serves as the administrative and economic center of the surrounding Akmola Region.
  • E. Syktyvkar
    Syktyvkar is the capital city of the Komi Republic in northwestern Russia, known as an administrative, cultural, and economic center of the region.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8a9c5e081908c85b41a268428fb completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62a6efa448190a9d95c5bd68ff34b completed May 2, 2026, 4:46 p.m.
Created at: April 8, 2026, 9:29 p.m.