Triple

T13010306
Position Surface form Disambiguated ID Type / Status
Subject Isle of Axholme E322391 entity
Predicate near P350 FINISHED
Object River Don E138865 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: River Don | Statement: [Isle of Axholme, near, River Don]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Don
Context triple: [Isle of Axholme, near, 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 Brun
    River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e9e14b88190a2cee8e0c9bf31c8 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f0dddc88190918d3a071b75a556 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 8:49 p.m.