Triple

T83266
Position Surface form Disambiguated ID Type / Status
Subject Greater Manchester E1673 entity
Predicate hasRiver P165 FINISHED
Object River Mersey E9452 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 Mersey | Statement: [Greater Manchester, hasRiver, River Mersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Mersey
Context triple: [Greater Manchester, hasRiver, River Mersey]
  • A. River Mersey chosen
    The River Mersey is a major river in North West England that flows through cities including Manchester and Liverpool before emptying into the Irish Sea.
  • B. River Clyde
    The River Clyde is a major Scottish river historically renowned for flowing through Glasgow and serving as a key center of shipbuilding and industry.
  • C. River Ribble
    The River Ribble is a major river in northern England that flows through North Yorkshire and Lancashire before emptying into the Irish Sea near Preston.
  • D. Severn
    The Severn is the longest river in Great Britain, flowing through Wales and England before emptying into the Bristol Channel.
  • E. Thames
    The Thames is a major river in southern England that flows through London and has long been central to the country’s history, commerce, and culture.
  • 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f4ccb5081908decac81f4af01bf completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2f0b0d5f481909987c4d937c7157a completed Feb. 28, 2026, 1:42 p.m.
Created at: Feb. 28, 2026, 2:06 a.m.