Triple

T1957719
Position Surface form Disambiguated ID Type / Status
Subject Archangel E42307 entity
Predicate locatedOn P40 FINISHED
Object Northern Dvina River E66837 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: Northern Dvina River | Statement: [Archangel, locatedOn, Northern Dvina River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northern Dvina River
Context triple: [Archangel, locatedOn, Northern Dvina River]
  • A. Northern Dvina River chosen
    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.
  • B. Volkhov River
    The Volkhov River is a historically significant waterway in northwestern Russia that connects Lake Ilmen to Lake Ladoga and has long served as an important trade and transport route.
  • C. Okhta River
    The Okhta River is a tributary waterway in northwestern Russia that flows through Saint Petersburg before joining the Neva River.
  • D. Voronezh River
    The Voronezh River is a major river in western Russia that flows through the city of Voronezh before joining the Don River.
  • E. Daugava River
    The Daugava River is a major Eastern European river flowing through Russia, Belarus, and Latvia before emptying into the Baltic Sea.
  • 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_69a8870eea088190a38781990812a9bc completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb37c60148190823f6a2a73b949e8 completed March 7, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3abc8cc819086e7b640d5231641 completed March 9, 2026, 11:48 a.m.
Created at: March 4, 2026, 7:36 p.m.