Triple

T13187346
Position Surface form Disambiguated ID Type / Status
Subject Balkan welaýaty E313890 entity
Predicate hasBorderWith P224 FINISHED
Object Daşoguz welaýaty 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: Daşoguz welaýaty | Statement: [Balkan welaýaty, hasBorderWith, Daşoguz welaýaty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daşoguz welaýaty
Context triple: [Balkan welaýaty, hasBorderWith, Daşoguz welaýaty]
  • 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. Sughd Region
    Sughd Region is a northern administrative region of Tajikistan known for its mountainous terrain, historical Silk Road cities, and diverse linguistic communities.
  • C. Khachmaz
    Khachmaz is a town in northeastern Azerbaijan known as a regional center near the Caspian Sea and the Russian border.
  • D. Nukus District
    Nukus District is an administrative district centered around the city of Nukus in the autonomous Republic of Karakalpakstan in northwestern Uzbekistan.
  • E. 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.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4b663c8190b0b18f0785f7b57d completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f7a304819081c4f51631948cbd completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:15 p.m.