Triple

T11802494
Position Surface form Disambiguated ID Type / Status
Subject upper Don River E280660 entity
Predicate meets P1220 FINISHED
Object middle Don River E50412 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: middle Don River | Statement: [upper Don River, meets, middle Don River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: middle Don River
Context triple: [upper Don River, meets, middle Don River]
  • A. middle Don River chosen
    The middle Don River is a central stretch of the Don River in southwestern Russia that was a significant strategic sector during World War II’s Eastern Front operations.
  • B. East Don River
    The East Don River is a tributary watercourse in the Greater Toronto Area that forms part of the Don River watershed in southern Ontario, Canada.
  • C. lower Don River
    The lower Don River is the downstream section of the Don River in Russia, flowing through the final stretch before it empties into the Sea of Azov.
  • D. lower Don River
    The lower Don River is the urbanized downstream section of Toronto’s Don River, historically heavily industrialized and flood-prone, now the focus of major ecological restoration and waterfront revitalization efforts.
  • E. Carp River
    Carp River is a stream located in Gogebic County in Michigan’s Upper Peninsula, known for flowing through forested terrain and contributing to the region’s network of cold-water fisheries.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1314300248190847b9c61bbfda121 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.