Triple

T2838892
Position Surface form Disambiguated ID Type / Status
Subject Hawthorn Leslie and Company E62415 entity
Predicate location P40 FINISHED
Object Tyneside E304544 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: Tyneside | Statement: [Hawthorn Leslie and Company, location, Tyneside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyneside
Context triple: [Hawthorn Leslie and Company, location, Tyneside]
  • A. Tyne and Wear
    Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
  • B. Washington, Tyne and Wear
    Washington, Tyne and Wear is a town in North East England that forms part of the City of Sunderland and is historically associated with the ancestors of U.S. President George Washington.
  • C. Merseyside
    Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
  • D. Wearside
    Wearside is an area in North East England centered on the city of Sunderland and the valley of the River Wear.
  • E. Tyneside urban area chosen
    The Tyneside urban area is a large conurbation in North East England centered on Newcastle upon Tyne and Gateshead, encompassing numerous surrounding towns along the River Tyne.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdef015bc81909f6a2ff17b22862f completed March 7, 2026, 8:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69b055d9c0f08190b62afbc1bf98dc20 completed March 10, 2026, 5:33 p.m.
Created at: March 6, 2026, 10:01 p.m.