Triple

T6812546
Position Surface form Disambiguated ID Type / Status
Subject Mykola E156670 entity
Predicate usedInCountry P715 FINISHED
Object Ukraine E14078 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: Ukraine | Statement: [Mykola, usedInCountry, Ukraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ukraine
Context triple: [Mykola, usedInCountry, Ukraine]
  • A. Ukraine chosen
    Ukraine is a large Eastern European country known for its fertile plains, strategic geopolitical position between Russia and the European Union, and its complex 20th- and 21st-century history marked by independence struggles and ongoing conflict.
  • B. Ukrainka
    Ukrainka is a small city in northern Ukraine situated along the Dnipro River within the Kyiv metropolitan area.
  • C. Ukraine and Moldova
    Ukraine and Moldova are neighboring Eastern European countries that share historical, cultural, and economic ties as well as a long land border.
  • D. Ukraine–Poland
    Ukraine–Poland refers to the shared border area and broader historical-cultural region linking Ukraine and Poland in Eastern Europe.
  • E. Romania and Ukraine
    Romania and Ukraine are neighboring Eastern European countries that share both land and river borders, including stretches along the Prut River.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d329861881909f65bd1017ea384b completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d775a48190bfdf5b6a52339833 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:17 p.m.