Triple

T19959972
Position Surface form Disambiguated ID Type / Status
Subject Atyrau Region E479785 entity
Predicate bordersWith P224 FINISHED
Object Mangystau 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: Mangystau Region | Statement: [Atyrau Region, bordersWith, Mangystau Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangystau Region
Context triple: [Atyrau Region, bordersWith, Mangystau Region]
  • A. Mangystau Region chosen
    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.
  • B. Zhetysu Region
    Zhetysu Region is an administrative region in southeastern Kazakhstan known for its diverse landscapes, including mountains, lakes, and steppe.
  • C. Jalal-Abad Region
    Jalal-Abad Region is an administrative region in western Kyrgyzstan known for its mountainous landscapes, river valleys, and significant agricultural and hydropower resources.
  • D. Jambyl Region
    Jambyl Region is an administrative region in southern Kazakhstan known for its agricultural economy, historical sites, and proximity to the Kyrgyz border.
  • E. Karaganda Region
    Karaganda Region is a large industrial and mining region in central Kazakhstan, known especially for its coal production and steppe landscapes.
  • 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65af386548190aefac1e40aac403d completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.