Triple

T294992
Position Surface form Disambiguated ID Type / Status
Subject Lutsk E6073 entity
Predicate country P26 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: [Lutsk, country, Ukraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ukraine
Context triple: [Lutsk, country, 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. Soviet Ukraine
    Soviet Ukraine was the Ukrainian Soviet socialist state that existed within the early Soviet framework and served as a key battleground and political entity during the formation of the USSR.
  • C. Belarus
    Belarus is an Eastern European country known for its flat landscapes, dense forests, and historical ties to both the Soviet Union and the broader Slavic cultural sphere.
  • D. Moldova
    Moldova is a landlocked Eastern European country situated between Romania and Ukraine, known for its wine production, agricultural economy, and post-Soviet political landscape.
  • E. Russia
    Russia is the world’s largest country by land area, spanning Eastern Europe and northern Asia and exerting major political, military, and cultural influence globally.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e978420881908488df342a7d5e90 completed Feb. 28, 2026, 1:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed2f315c8190a6cb00ce703b00b1 completed March 2, 2026, 1:51 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.