Triple

T6853095
Position Surface form Disambiguated ID Type / Status
Subject Western Siberia E158069 entity
Predicate contains P35 FINISHED
Object Ob River E64213 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: Ob River | Statement: [Western Siberia, contains, Ob River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ob River
Context triple: [Western Siberia, contains, Ob River]
  • A. Ob River chosen
    The Ob River is one of the major rivers of western Siberia in Russia, flowing northward into the Arctic Ocean and forming part of one of the world's largest river systems.
  • B. Moder River
    The Moder River is a waterway in northeastern France that flows through the Alsace region before joining the Rhine.
  • C. Mi River
    The Mi River is a significant river in Hunan Province, China, known as one of the main tributaries feeding into the Xiang River system.
  • D. Emme River
    The Emme River is a Swiss river flowing through the Emmental region and the Swiss Plateau, known for its picturesque valleys and historical flooding events.
  • E. Von River
    The Von River is a waterway in New Zealand’s South Island that feeds into Lake Wakatipu, flowing through a remote, mountainous landscape popular for high-country farming and outdoor recreation.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84fffbc8190943ca7f3f03937e9 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ef8185c6e08190949020a80c24f2b8 completed April 27, 2026, 3:32 p.m.
Created at: March 27, 2026, 2:20 p.m.