Triple

T1177988
Position Surface form Disambiguated ID Type / Status
Subject Moldova E25071 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: [Moldova, majorRiver, Dniester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dniester
Context triple: [Moldova, 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. Tisa River
    The Tisa River is a major Central and Eastern European waterway that flows through countries including Ukraine, Romania, Hungary, Slovakia, and Serbia before joining the Danube.
  • D. 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.
  • E. Siverskyi Donets
    Siverskyi Donets is a significant river in Eastern Europe that flows through Russia and eastern Ukraine, playing a key role in the region’s ecology, water supply, and ongoing geopolitical conflicts.
  • 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd10ccc481908d5bcef648aab3c1 completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a9f91808190b44715dc3df31cc3 completed March 8, 2026, 2:41 p.m.
Created at: March 1, 2026, 7:45 p.m.