Triple

T2093857
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Finland E32733 entity
Predicate hasInflow P967 FINISHED
Object Luga River E263361 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: Luga River | Statement: [Gulf of Finland, hasInflow, Luga River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luga River
Context triple: [Gulf of Finland, hasInflow, Luga River]
  • A. Luga River chosen
    The Luga River is a significant waterway in northwestern Russia that flows through Novgorod and Leningrad Oblasts before emptying into the Gulf of Finland in the Baltic Sea.
  • B. Vetluga River
    The Vetluga River is a significant waterway in western Russia that flows through several regions before joining the Volga River.
  • C. 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.
  • D. Klyazma River
    The Klyazma River is a significant waterway in western Russia that flows through several regions, including Moscow Oblast, before joining the Oka River.
  • E. Kotorosl River
    The Kotorosl River is a tributary of the Volga in central Russia that flows through the city of Yaroslavl and plays an important role in its landscape and history.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba98c32081908a243bc7088a1510 completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9050216c8190b4e4af7cc4c9bb42 completed March 10, 2026, 3:30 a.m.
Created at: March 4, 2026, 7:43 p.m.