Triple

T10484923
Position Surface form Disambiguated ID Type / Status
Subject Kremenchuk E247270 entity
Predicate locatedOnTransportCorridor P2409 FINISHED
Object Dnieper waterway E860718 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: Dnieper waterway | Statement: [Kremenchuk, locatedOnTransportCorridor, Dnieper waterway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dnieper waterway
Context triple: [Kremenchuk, locatedOnTransportCorridor, Dnieper waterway]
  • A. Dnieper–Black Sea waterway chosen
    The Dnieper–Black Sea waterway is a major navigable route that links the Dnieper River basin with the Black Sea, facilitating regional trade and transportation.
  • B. Dnieper
    The Dnieper is a major Eastern European river that flows through Russia, Belarus, and Ukraine before emptying into the Black Sea.
  • C. 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.
  • D. 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.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50968a0bc8190a18ba24eb37431d9 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d99884c70481909fb45b7598f84c64 completed April 11, 2026, 12:40 a.m.
Created at: April 6, 2026, 12:23 p.m.