Triple

T13494140
Position Surface form Disambiguated ID Type / Status
Subject Kokshaal-Too range E320714 entity
Predicate region P40 FINISHED
Object Naryn Region E420681 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: Naryn Region | Statement: [Kokshaal-Too range, region, Naryn Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naryn Region
Context triple: [Kokshaal-Too range, region, Naryn Region]
  • A. Naryn Region chosen
    Naryn Region is a large, sparsely populated administrative region in central Kyrgyzstan known for its high mountain landscapes, pastures, and traditional nomadic culture.
  • B. Saryagash District
    Saryagash District is an administrative district in southern Kazakhstan known for its proximity to the Uzbek border and its mineral springs.
  • C. Chüy Region
    Chüy Region is an administrative region in northern Kyrgyzstan, centered on the fertile Chüy Valley and including the country’s capital, Bishkek.
  • D. Naryn
    Naryn is a town in central Kyrgyzstan known for its high-altitude location in the Tian Shan mountains and its role as an administrative and cultural center of the Naryn Region.
  • E. 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.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f7fcab0819091146d54d56f08d7 completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:43 p.m.