Triple

T9813922
Position Surface form Disambiguated ID Type / Status
Subject Malka River E238348 entity
Predicate mouth P407 FINISHED
Object Terek River E101178 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: Terek River | Statement: [Malka River, mouth, Terek River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terek River
Context triple: [Malka River, mouth, Terek River]
  • A. Terek River chosen
    The Terek River is a major river in the North Caucasus that flows through Georgia and Russia before emptying into the Caspian Sea.
  • B. Irtysh River
    The Irtysh River is a major river in Central Asia and Western Siberia that flows through China, Kazakhstan, and Russia before joining the Ob River.
  • C. Taimyr River
    The Taimyr River is a remote Arctic river in northern Siberia, Russia, flowing across the Taimyr Peninsula into the Kara Sea.
  • D. Tuman River
    The Tuman River is a border river in Northeast Asia that flows between China, North Korea, and Russia before emptying into the Sea of Japan.
  • E. Yaik River
    The Yaik River is the historical name for the Ural River, a major waterway flowing from the Ural Mountains into the Caspian Sea and marking part of the boundary between Europe and Asia.
  • 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_69ca84defac48190abc1148804f184c1 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb22410208190b82b81a4df800f80 completed April 2, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269b54d04819096ddc9f16a6db17b completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:30 p.m.