Triple

T10061005
Position Surface form Disambiguated ID Type / Status
Subject Tolmachevo Airport E212986 entity
Predicate locatedNear P294 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: [Tolmachevo Airport, locatedNear, Ob River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ob River
Context triple: [Tolmachevo Airport, locatedNear, 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. You River
    The You River is a tributary waterway in southern China that feeds into the larger Yuan River system.
  • D. 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.
  • E. 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.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd1fc98819082ec3f2f91151955 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b78e7ec819093e5e631197ed295 completed May 2, 2026, 7:07 p.m.
Created at: March 30, 2026, 8:57 p.m.