Triple

T21660533
Position Surface form Disambiguated ID Type / Status
Subject River Don (Tyne and Wear) E534581 entity
Predicate hasName P744 FINISHED
Object River Don
River Don is a small river in Tyne and Wear, England, that flows through the borough of South Tyneside before joining the River Tyne.
E1498883 NE FINISHED

How this triple was built (4 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 Don (Tyne and Wear), hasName, River Don]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Don
Context triple: [River Don (Tyne and Wear), hasName, River Don]
  • A. River Don
    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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: River Don
Triple: [River Don (Tyne and Wear), hasName, River Don]
Generated description
River Don is a small river in Tyne and Wear, England, that flows through the borough of South Tyneside before joining the River Tyne.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: River Don
Target entity description: River Don is a small river in Tyne and Wear, England, that flows through the borough of South Tyneside before joining the River Tyne.
  • A. River Don
    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. chosen

Provenance (5 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c07bcb88190a9864672c20325ff completed April 27, 2026, 2 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a24a02f448190b4ce80e4f7b211a4 completed May 17, 2026, 8:27 p.m.
NEDg Description generation batch_6a0a2c33f44081908a0839a0ee4d31ef completed May 17, 2026, 8:59 p.m.
NED2 Entity disambiguation (via description) batch_6a0a2c89bb908190bed986eee6e29e14 completed May 17, 2026, 9 p.m.
Created at: April 16, 2026, 6:36 p.m.