Triple

T7706151
Position Surface form Disambiguated ID Type / Status
Subject Ob River region E174621 entity
Predicate hasMajorRiver P165 FINISHED
Object Ket River E426720 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: Ket River | Statement: [Ob River region, hasMajorRiver, Ket River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ket River
Context triple: [Ob River region, hasMajorRiver, Ket River]
  • A. Ket River chosen
    The Ket River is a significant waterway in Siberia that flows through Russia and feeds into the Ob River, contributing to its extensive river system.
  • B. Kara River
    The Kara River is a river in northern Russia that flows into the Arctic Ocean, giving its name to the adjacent Kara Sea.
  • C. Kalmius River
    The Kalmius River is a river in eastern Ukraine that flows through the industrial city of Mariupol before emptying into the Sea of Azov.
  • D. Supin River
    The Supin River is a Himalayan river in Uttarakhand, India, known for flowing through the Har Ki Doon valley before joining the Tons River.
  • E. 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.
  • 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_69c6995b3e8c8190833108f883d5f53c completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7028f17f0819081686ac146750d3a completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c968cfdb1081908961f825b616a708 completed March 29, 2026, 6 p.m.
Created at: March 27, 2026, 4:03 p.m.