Triple

T17364226
Position Surface form Disambiguated ID Type / Status
Subject Southeastern Azerbaijan E422145 entity
Predicate contains P35 FINISHED
Object Astara 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: Astara region | Statement: [Southeastern Azerbaijan, contains, Astara region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Astara region
Context triple: [Southeastern Azerbaijan, contains, Astara region]
  • A. Astara District chosen
    Astara District is an administrative region in southeastern Azerbaijan, located along the Caspian Sea and bordering Iran.
  • B. Namangan Region
    Namangan Region is an administrative region in eastern Uzbekistan, located in the fertile Fergana Valley and known for its agriculture and traditional crafts.
  • C. Kalbajar region
    The Kalbajar region is a mountainous area in the western part of Azerbaijan, known for its strategic location between Armenia and Nagorno-Karabakh and its role in the long-running territorial conflict there.
  • D. Daşoguz Region
    Daşoguz Region is an administrative region in northern Turkmenistan known for its desert landscapes and proximity to the historical Khorezm area.
  • E. Jambyl Region
    Jambyl Region is an administrative region in southern Kazakhstan known for its agricultural economy, historical sites, and proximity to the Kyrgyz border.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a4f52988190847230e119a35b87 completed April 19, 2026, 2:13 a.m.
Created at: April 10, 2026, 5:44 a.m.