Triple

T19556350
Position Surface form Disambiguated ID Type / Status
Subject Don Navigation E489321 entity
Predicate watercourse P415 FINISHED
Object River Don — NE NERFINISHED

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: River Don | Statement: [Don Navigation, watercourse, River Don]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Don
Context triple: [Don Navigation, watercourse, River Don]
  • A. River Don chosen
    The River Don is a major waterway in South Yorkshire, England, historically central to the region’s industrial development and the city of Sheffield.
  • B. River Don
    The River Don is a major river in northeast Scotland that flows from the Grampian Mountains through Aberdeenshire to the North Sea near Aberdeen.
  • C. River Tar
    The River Tar is a smaller watercourse in Ireland that feeds into the larger River Suir within its catchment area.
  • D. Ave River
    The Ave River is a watercourse in northern Portugal that flows through the Minho region before emptying into the Atlantic Ocean near the city of Vila do Conde.
  • E. River Dour
    The River Dour is a small chalk stream in Kent, England, that flows through the Dover area and historically powered local mills.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d341d708190b8ef35822f8bfe7c completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:42 p.m.