Triple

T17700921
Position Surface form Disambiguated ID Type / Status
Subject Osh Region E441296 entity
Predicate borderWith P224 FINISHED
Object Naryn Region NE NERFINISHED

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: [Osh Region, borderWith, Naryn Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naryn Region
Context triple: [Osh Region, borderWith, 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. Batken Region
    Batken Region is a southwestern administrative region of Kyrgyzstan known for its mountainous terrain and complex borders with Tajikistan and Uzbekistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4715ae1fc81908438a1bba970c6ec completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.