Triple

T8844839
Position Surface form Disambiguated ID Type / Status
Subject Volodymyr E210478 entity
Predicate locatedOn P40 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: [Volodymyr, locatedOn, Luga River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luga River
Context triple: [Volodymyr, locatedOn, 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. Liakhvi River
    The Liakhvi River is a river in central Georgia that flows through the city of Gori before joining the Kura (Mtkvari) River.
  • C. Zusha River
    The Zusha River is a significant waterway in western Russia that feeds into the Oka River and contributes to its drainage basin.
  • D. Tvertsa River
    The Tvertsa River is a waterway in western Russia that flows through Tver Oblast and serves as a tributary of the Volga River.
  • E. Kirzhach River
    The Kirzhach River is a waterway in Vladimir Oblast, Russia, known for its scenic, forested banks and recreational boating and fishing.
  • 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_69ca838967bc8190b46c3c80a2887ea4 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60a6623c8190ba43545544f58633 completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04729c39c8190a88a28288653399b completed April 3, 2026, 11:03 p.m.
Created at: March 30, 2026, 6:48 p.m.