Triple

T11240354
Position Surface form Disambiguated ID Type / Status
Subject Byk River E266055 entity
Predicate mouth P407 FINISHED
Object Dniester River 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 River | Statement: [Byk River, mouth, Dniester River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dniester River
Context triple: [Byk River, mouth, Dniester River]
  • 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. Vorskla River
    The Vorskla River is a significant tributary of the Dnieper River in central Ukraine, known for its historical battle sites and role in regional ecology and transport.
  • C. Dnieper
    The Dnieper is a major Eastern European river that flows through Russia, Belarus, and Ukraine before emptying into the Black Sea.
  • D. Taras River
    The Taras River is an ancient waterway in southern Italy historically associated with the Greek colony of Tarentum (modern Taranto) on the Ionian Sea.
  • E. Kharkiv River
    The Kharkiv River is a waterway in northeastern Ukraine that flows through and lends its name to the city of Kharkiv before joining the Lopan 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5257dd1e48190a9352fc8b62418da completed April 19, 2026, 6:57 p.m.
Created at: April 8, 2026, 9:30 p.m.