Triple

T2581777
Position Surface form Disambiguated ID Type / Status
Subject Volga region E57107 entity
Predicate hasPart P35 FINISHED
Object Middle Volga E312525 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: Middle Volga | Statement: [Volga region, hasPart, Middle Volga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Middle Volga
Context triple: [Volga region, hasPart, Middle Volga]
  • A. Upper Volga
    The Upper Volga is the northernmost section of the Volga River basin, encompassing the river’s headwaters and early course before it turns southeast toward central Russia.
  • B. middle Volga chosen
    The middle Volga is a central stretch of the Volga River in European Russia, known as a major waterway supporting regional transport, industry, and cities such as Samara and Kazan.
  • C. Voronezh River
    The Voronezh River is a major river in western Russia that flows through the city of Voronezh before joining the Don River.
  • D. 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.
  • E. Samara River
    The Samara River is a significant river in European Russia that flows through the Samara region before joining the Volga River.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3c843bc8190837cea3441bf3ca1 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69b261c141f88190aaf340c92499b88b completed March 12, 2026, 6:48 a.m.
Created at: March 6, 2026, 9:49 p.m.