Triple

T3839845
Position Surface form Disambiguated ID Type / Status
Subject River Test E93423 entity
Predicate hasTributary P415 FINISHED
Object River Dun
The River Dun is a small river in Hampshire, England, that flows through rural landscapes before joining the renowned chalk stream River Test.
E399344 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 Dun | Statement: [River Test, hasTributary, River Dun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Dun
Context triple: [River Test, hasTributary, River Dun]
  • A. 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.
  • B. River Alt
    The River Alt is a small river in Merseyside, England, that flows through the Liverpool area before reaching the Irish Sea.
  • 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 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.
  • E. 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.
  • 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 Dun
Triple: [River Test, hasTributary, River Dun]
Generated description
The River Dun is a small river in Hampshire, England, that flows through rural landscapes before joining the renowned chalk stream River Test.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: River Dun
Target entity description: The River Dun is a small river in Hampshire, England, that flows through rural landscapes before joining the renowned chalk stream River Test.
  • A. 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.
  • B. River Alt
    The River Alt is a small river in Merseyside, England, that flows through the Liverpool area before reaching the Irish Sea.
  • 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 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.
  • E. 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.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeba1535c8190b36e2ab2d4514b54 completed March 9, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5283876148190b06633b91a788ffe completed March 14, 2026, 9:19 a.m.
NEDg Description generation batch_69b529182fc4819080b70ba8af713535 completed March 14, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69b5297b3e14819093886f2cedb05abc completed March 14, 2026, 9:25 a.m.
Created at: March 9, 2026, 3:18 p.m.