Triple

T704928
Position Surface form Disambiguated ID Type / Status
Subject Ukraine E14078 entity
Predicate majorRiver P165 FINISHED
Object Dniester E41326 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: Dniester | Statement: [Ukraine, majorRiver, Dniester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dniester
Context triple: [Ukraine, majorRiver, Dniester]
  • A. Dniester chosen
    The Dniester is a major river in Eastern Europe that flows through Ukraine and Moldova before emptying into the Black Sea.
  • B. Dnieper
    The Dnieper is a major Eastern European river that flows through Russia, Belarus, and Ukraine before emptying into the Black Sea.
  • C. Prut River
    The Prut River is a significant Eastern European waterway that flows through Ukraine, Moldova, and Romania, forming much of the border between Romania and Moldova before joining the Danube.
  • D. Maritsa
    Maritsa is a significant river in the Balkans that flows through Bulgaria, Greece, and Turkey before emptying into the Aegean Sea.
  • E. Danube
    The Danube is one of Europe's longest and most historically significant rivers, flowing from Germany to the Black Sea and passing through numerous Central and Eastern European countries.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a544e3608190ac315c7aa9f88e7e completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733031bc8190bbb0cd733ae023e9 completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:36 p.m.