Triple

T10179260
Position Surface form Disambiguated ID Type / Status
Subject Amu Darya Delta E235940 entity
Predicate borderedBy P224 FINISHED
Object Dashoguz Region E383491 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: Dashoguz Region | Statement: [Amu Darya Delta, borderedBy, Dashoguz Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dashoguz Region
Context triple: [Amu Darya Delta, borderedBy, Dashoguz Region]
  • A. Daşoguz Region chosen
    Daşoguz Region is an administrative region in northern Turkmenistan known for its desert landscapes and proximity to the historical Khorezm area.
  • B. Gobustan District
    Gobustan District is a region of Azerbaijan renowned for its ancient petroglyphs and archaeological sites that form part of the Gobustan Rock Art Cultural Landscape, a UNESCO World Heritage Site.
  • C. Jambyl Region
    Jambyl Region is an administrative region in southern Kazakhstan known for its agricultural economy, historical sites, and proximity to the Kyrgyz border.
  • D. Andijan Region
    Andijan Region is an administrative region in eastern Uzbekistan known for its dense population, fertile Fergana Valley agriculture, and the city of Andijan as its capital.
  • E. Khorezm Region
    Khorezm Region is an administrative region in northwestern Uzbekistan, historically part of the ancient Khwarezm civilization and centered around the city of Urgench.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd7ed608190bfdec8b61cc99205 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d355075c0c819090854c1408681975 completed April 6, 2026, 6:39 a.m.
Created at: March 30, 2026, 9:11 p.m.