Triple

T217727
Position Surface form Disambiguated ID Type / Status
Subject Liverpool John Lennon Airport E4143 entity
Predicate locatedNear P294 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: [Liverpool John Lennon Airport, locatedNear, River Mersey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Mersey
Context triple: [Liverpool John Lennon Airport, locatedNear, 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. River Lagan
    River Lagan is a major river in Northern Ireland that flows through Belfast and has played a central role in the city's industrial and urban development.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c5062e48190833be10e4770e1e9 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3836ea55c81909135f5f061e47da5 completed March 1, 2026, 12:08 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.