Triple

T2775060
Position Surface form Disambiguated ID Type / Status
Subject Samara Oblast E61547 entity
Predicate hasRiver P165 FINISHED
Object Samara River E57106 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: Samara River | Statement: [Samara Oblast, hasRiver, Samara River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samara River
Context triple: [Samara Oblast, hasRiver, Samara River]
  • A. Samara River chosen
    The Samara River is a significant river in European Russia that flows through the Samara region before joining the Volga River.
  • B. Msta River
    The Msta River is a waterway in northwestern Russia that flows from the Valdai Hills through the Novgorod and Tver regions before joining the Volkhov River basin.
  • C. Kazan River
    The Kazan River is a major river in the Republic of Tatarstan, Russia, flowing through the city of Kazan before emptying into the Volga River.
  • D. Okhta River
    The Okhta River is a tributary waterway in northwestern Russia that flows through Saint Petersburg before joining the Neva River.
  • E. Vyatka River
    The Vyatka River is a major river in western Russia that flows through the Kirov and Nizhny Novgorod regions and plays an important role in regional transport, ecology, and settlement.
  • 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_69ab4b7cd13481909174bca9809ed259 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd7f9570819087f1b1cb59d68586 completed March 7, 2026, 8:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdbd9a9c8190b1135a4120ac0c6b completed March 14, 2026, 2:53 a.m.
Created at: March 6, 2026, 9:57 p.m.