Triple

T3836378
Position Surface form Disambiguated ID Type / Status
Subject River Went E91141 entity
Predicate mouthOfWatercourse P3817 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: [River Went, mouthOfWatercourse, River Don]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Don
Context triple: [River Went, mouthOfWatercourse, 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 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.
  • D. River Dun
    The River Dun is a tributary watercourse in southern England that feeds into the River Kennet as part of the Kennet and Avon river system.
  • E. River Tas
    The River Tas is a small river in Norfolk, England, that flows through rural landscapes and villages before joining the River Yare.
  • 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_69aed960b538819096561c8ed448dec9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeb9baa508190800e73bf186f046e completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b50405264c8190b145dc3929ffc940 completed March 14, 2026, 6:45 a.m.
Created at: March 9, 2026, 3:18 p.m.