Triple

T989910
Position Surface form Disambiguated ID Type / Status
Subject North Caucasus E21364 entity
Predicate hasRiver P165 FINISHED
Object Sulak River E160113 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: Sulak River | Statement: [North Caucasus, hasRiver, Sulak River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sulak River
Context triple: [North Caucasus, hasRiver, Sulak River]
  • A. Sulak River chosen
    The Sulak River is a major river in Dagestan, Russia, known for flowing through deep canyons and ultimately draining into the Caspian Sea.
  • B. Shilka River
    The Shilka River is a major river in eastern Siberia that flows through Russia’s Zabaykalsky Krai and forms part of the upper course of the Amur River.
  • C. Buotama River
    The Buotama River is a Siberian waterway in Russia’s Sakha Republic that flows through remote taiga landscapes before joining the Lena River.
  • D. Siul River
    The Siul River is a lesser-known river in the northern Indian subcontinent that feeds into the Ravi River within the Indus River basin.
  • E. Sura River
    The Sura River is a significant river in western Russia that flows through the Volga Upland and several regions 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4ac27e081908f132115464667b2 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae3032c1588190bae02f0e2152c6f1 completed March 9, 2026, 2:28 a.m.
Created at: March 1, 2026, 7:41 p.m.