Triple

T12424290
Position Surface form Disambiguated ID Type / Status
Subject River Suir E296857 entity
Predicate hasTributary P415 FINISHED
Object River Tar
The River Tar is a smaller watercourse in Ireland that feeds into the larger River Suir within its catchment area.
 E989365 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 Tar | Statement: [River Suir, hasTributary, River Tar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: River Tar
Context triple: [River Suir, hasTributary, River Tar]
  • A. 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.
  • B. 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.
  • C. River Tas
    The River Tas is a small river in Norfolk, England, that flows through rural landscapes and villages before joining the River Yare.
  • 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. 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 Tar
Triple: [River Suir, hasTributary, River Tar]
Generated description
The River Tar is a smaller watercourse in Ireland that feeds into the larger River Suir within its catchment area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: River Tar
Target entity description: The River Tar is a smaller watercourse in Ireland that feeds into the larger River Suir within its catchment area.
  • A. 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.
  • B. 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.
  • C. River Tas
    The River Tas is a small river in Norfolk, England, that flows through rural landscapes and villages before joining the River Yare.
  • 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. 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7b6bd08190b30beba393a5b1e7 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556495208190abd2e3e5aaac57a5 completed May 2, 2026, 7:49 p.m.
NEDg Description generation batch_69f6566dccc0819085e059c7b0288f6c completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657b1b13c8190984300f24c0b2083 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:55 p.m.