Triple

T13762183
Position Surface form Disambiguated ID Type / Status
Subject Kara Darya E330638 entity
Predicate countrySubdivision P766 FINISHED
Object Namangan Region E344813 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: Namangan Region | Statement: [Kara Darya, countrySubdivision, Namangan Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namangan Region
Context triple: [Kara Darya, countrySubdivision, Namangan Region]
  • A. Jambyl Region
    Jambyl Region is an administrative region in southern Kazakhstan known for its agricultural economy, historical sites, and proximity to the Kyrgyz border.
  • B. Andijan Region chosen
    Andijan Region is an administrative region in eastern Uzbekistan known for its dense population, fertile Fergana Valley agriculture, and the city of Andijan as its capital.
  • C. Mangystau Region
    Mangystau Region is a sparsely populated, resource-rich oblast in southwestern Kazakhstan known for its arid deserts, Caspian Sea coastline, and distinctive plateaus and rock formations.
  • D. Karaganda Region
    Karaganda Region is a large industrial and mining region in central Kazakhstan, known especially for its coal production and steppe landscapes.
  • E. Zhetysu Region
    Zhetysu Region is an administrative region in southeastern Kazakhstan known for its diverse landscapes, including mountains, lakes, and steppe.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce64676c8190921796666ecd3dba completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:10 p.m.