Triple

T19705343
Position Surface form Disambiguated ID Type / Status
Subject Newcastle School watercolours E473199 entity
Predicate subjectMatter P450 FINISHED
Object river Tyne NE NERFINISHED

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 Tyne | Statement: [Newcastle School watercolours, subjectMatter, river Tyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: river Tyne
Context triple: [Newcastle School watercolours, subjectMatter, river Tyne]
  • A. River Tyne
    The River Tyne is a river in southeast Scotland that flows through Midlothian and East Lothian before reaching the North Sea near Dunbar.
  • B. River Tyne chosen
    The River Tyne is a major river in North East England that flows through Newcastle upon Tyne and Gateshead before reaching the North Sea.
  • C. Tyne
    Tyne is a feminine given name most notably borne by American actress Tyne Daly.
  • D. Tyne and Tees
    Tyne and Tees was the nickname of the British 50th (Northumbrian) Infantry Division, a renowned World War II formation noted for its role in major campaigns including the Normandy landings.
  • E. River Trent
    The River Trent is one of the principal rivers in the Midlands of England, flowing through cities such as Stoke-on-Trent and Nottingham before joining the Humber Estuary.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b998608190a82f23bbf77f7bd2 completed April 20, 2026, 3:14 p.m.
Created at: April 10, 2026, 1:46 p.m.