Triple

T4527109
Position Surface form Disambiguated ID Type / Status
Subject Svir River E106206 entity
Predicate mouth P407 FINISHED
Object Lake Ladoga E14798 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: Lake Ladoga | Statement: [Svir River, mouth, Lake Ladoga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Ladoga
Context triple: [Svir River, mouth, Lake Ladoga]
  • A. Lake Ladoga chosen
    Lake Ladoga is a vast freshwater lake in northwestern Russia, renowned as the largest lake in Europe and an important ecological and historical region.
  • B. Lake Onega
    Lake Onega is one of Europe's largest freshwater lakes, located in northwestern Russia and known for its numerous islands, historic monasteries, and significant ecological and economic importance.
  • C. Ladoga Karelia
    Ladoga Karelia is a historical region in southeastern Finland, bordering Lake Ladoga, that was ceded to the Soviet Union after the Winter War.
  • D. Lake Ilmen
    Lake Ilmen is a large freshwater lake in northwestern Russia, historically significant as a key hub on medieval trade routes near the city of Veliky Novgorod.
  • E. Lake Valdai
    Lake Valdai is a freshwater lake in western Russia known for its scenic surroundings within the Valdai Hills and its inclusion in the Valdaysky National Park.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57760f4481908f69ce82be63d7f8 completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb9130b3c8190b511fa8a6ac0549b completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:03 p.m.