Triple

T495431
Position Surface form Disambiguated ID Type / Status
Subject European Russia E10281 entity
Predicate containsRiver P165 FINISHED
Object Don River E139989 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: Don River | Statement: [European Russia, containsRiver, Don River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Don River
Context triple: [European Russia, containsRiver, Don River]
  • A. Don River
    The Don River is a significant waterway in Toronto, Ontario, that flows south through the city into Lake Ontario and has played an important role in its urban and environmental history.
  • B. Don River chosen
    The Don River is a major river in southwestern Russia that flows from the Central Russian Upland to the Sea of Azov and has long held strategic and historical importance, including during World War II.
  • C. Luni River
    The Luni River is an intermittent river in western India that flows through the arid regions of Rajasthan and Gujarat, eventually dissipating into the Rann of Kutch.
  • D. Tons River
    Tons River is a major Himalayan river in northern India that flows through Uttarakhand and Himachal Pradesh before joining the Yamuna.
  • E. Ill River
    The Ill River is a major waterway in northeastern France that flows through the city of Strasbourg and its historic Grande Île before joining the Rhine.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0fdd5608190815fa36485df8962 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad4678de4481908d6a0e6325e0a0e0 completed March 8, 2026, 9:50 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.