Triple

T133335
Position Surface form Disambiguated ID Type / Status
Subject Baltic Sea E2697 entity
Predicate hasInflow P967 FINISHED
Object Neva River E9869 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: Neva River | Statement: [Baltic Sea, hasInflow, Neva River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neva River
Context triple: [Baltic Sea, hasInflow, Neva River]
  • A. Neva River chosen
    The Neva River is a major waterway in northwestern Russia that flows through Saint Petersburg into the Gulf of Finland, playing a central role in the city's geography, history, and economy.
  • B. Moskva River
    The Moskva River is a major waterway in western Russia that flows through and gives its name to the capital city, Moscow.
  • C. Lena River
    The Lena River is one of the longest rivers in the world, flowing through Siberia in northeastern Russia to the Arctic Ocean.
  • D. Sacandaga River
    The Sacandaga River is a major river in upstate New York that drains the southern Adirondacks and flows into the Hudson River, historically important for logging, power generation, and recreation.
  • E. Volga River
    The Volga River is the longest river in Europe, flowing through central Russia to the Caspian Sea and serving as a vital waterway for transport, industry, and culture.
  • 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_69a2520c0f3481908b0ed054a2fca8d0 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25788b2688190a45b39447f702551 completed Feb. 28, 2026, 2:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2c27487c08190a4a356a4ad7b411b completed Feb. 28, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 2:30 a.m.