Triple

T729447
Position Surface form Disambiguated ID Type / Status
Subject Lake Ladoga E14798 entity
Predicate inflow P415 FINISHED
Object Svir River E106206 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: Svir River | Statement: [Lake Ladoga, inflow, Svir River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Svir River
Context triple: [Lake Ladoga, inflow, Svir River]
  • A. Svir River chosen
    The Svir River is a waterway in northwestern Russia that links Lake Onega to Lake Ladoga and forms part of the Volga–Baltic waterway system.
  • B. Vetluga River
    The Vetluga River is a significant waterway in western Russia that flows through several regions before joining the Volga River.
  • C. Northern Dvina River
    The Northern Dvina River is a major waterway in northwestern Russia that flows into the White Sea and has long served as an important route for trade and transport.
  • D. Tosna River
    The Tosna River is a waterway in northwestern Russia that flows through the Leningrad Oblast before joining the Neva River.
  • E. Izhora River
    The Izhora River is a small river in northwestern Russia that flows through the Leningrad Oblast and Saint Petersburg region before joining the Neva 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5c155908190a73a40195f6281b1 completed March 1, 2026, 8:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826c4a35081909903e42dfa56d582 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:37 p.m.