Triple

T12472455
Position Surface form Disambiguated ID Type / Status
Subject Arsk E298093 entity
Predicate locatedOnRiver P165 FINISHED
Object Kazan River E232699 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: Kazan River | Statement: [Arsk, locatedOnRiver, Kazan River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kazan River
Context triple: [Arsk, locatedOnRiver, Kazan River]
  • A. Kazan River chosen
    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.
  • B. Velikaya River
    The Velikaya River is a major waterway in northwestern Russia that flows through Pskov Oblast into Lake Peipus, historically serving as an important trade and strategic route.
  • C. Samara River
    The Samara River is a significant river in European Russia that flows through the Samara region before joining the Volga River.
  • D. 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.
  • E. Kuban River
    The Kuban River is a major river in the North Caucasus region of Russia that flows through the Krasnodar Krai before emptying into the Sea of Azov.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dca022c819082138fd4d08516da completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f746055aac81909626eaa891199019 completed May 3, 2026, 12:56 p.m.
Created at: April 8, 2026, 9:56 p.m.