Triple

T21406593
Position Surface form Disambiguated ID Type / Status
Subject Astara District E528050 entity
Predicate partOf P40 FINISHED
Object Lankaran-Astara Economic Region — NE NERFINISHED

How this triple was built (3 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: Lankaran-Astara Economic Region | Statement: [Astara District, partOf, Lankaran-Astara Economic Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lankaran-Astara Economic Region
Context triple: [Astara District, partOf, Lankaran-Astara Economic Region]
  • A. Shaki-Zaqatala Economic Region
    The Shaki-Zaqatala Economic Region is an administrative-economic area in northwestern Azerbaijan known for its agricultural production, diverse ethnic composition, and location in the foothills of the Greater Caucasus.
  • B. Azerbaijan's Guba-Khachmaz economic region
    Azerbaijan's Guba-Khachmaz economic region is an administrative-economic area in northeastern Azerbaijan known for its diverse landscapes, agriculture, and tourism centers including districts like Quba.
  • C. Ganja-Gazakh economic region
    The Ganja-Gazakh economic region is an administrative-economic area in western Azerbaijan that includes the city of Ganja and surrounding districts, serving as an important industrial, agricultural, and transport hub of the country.
  • D. Sughd Region
    Sughd Region is a northern administrative region of Tajikistan known for its mountainous terrain, historical Silk Road cities, and diverse linguistic communities.
  • E. Daşoguz Region
    Daşoguz Region is an administrative region in northern Turkmenistan known for its desert landscapes and proximity to the historical Khorezm area.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lankaran-Astara Economic Region
Target entity description: Lankaran-Astara Economic Region is an administrative-economic area in southeastern Azerbaijan that encompasses several districts along the Caspian Sea, known for its subtropical climate, agriculture, and tea-growing industry.
  • A. Shaki-Zaqatala Economic Region
    The Shaki-Zaqatala Economic Region is an administrative-economic area in northwestern Azerbaijan known for its agricultural production, diverse ethnic composition, and location in the foothills of the Greater Caucasus.
  • B. Azerbaijan's Guba-Khachmaz economic region
    Azerbaijan's Guba-Khachmaz economic region is an administrative-economic area in northeastern Azerbaijan known for its diverse landscapes, agriculture, and tourism centers including districts like Quba.
  • C. Ganja-Gazakh economic region
    The Ganja-Gazakh economic region is an administrative-economic area in western Azerbaijan that includes the city of Ganja and surrounding districts, serving as an important industrial, agricultural, and transport hub of the country.
  • D. Sughd Region
    Sughd Region is a northern administrative region of Tajikistan known for its mountainous terrain, historical Silk Road cities, and diverse linguistic communities.
  • E. Daşoguz Region
    Daşoguz Region is an administrative region in northern Turkmenistan known for its desert landscapes and proximity to the historical Khorezm area.
  • F. None of above. chosen

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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b1b08fdc81909b3ba01add5f6484 completed April 22, 2026, 11:32 a.m.
Created at: April 16, 2026, 5:32 p.m.