Triple

T1814018
Position Surface form Disambiguated ID Type / Status
Subject County Durham E40394 entity
Predicate borders P224 FINISHED
Object Tyne and Wear E57532 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: Tyne and Wear | Statement: [County Durham, borders, Tyne and Wear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tyne and Wear
Context triple: [County Durham, borders, Tyne and Wear]
  • A. Tyne and Wear chosen
    Tyne and Wear is a metropolitan county in North East England that includes major urban centers such as Newcastle upon Tyne and Sunderland.
  • B. Merseyside
    Merseyside is a metropolitan county in North West England that includes the city of Liverpool and its surrounding urban areas.
  • C. Yorkshire and the Humber
    Yorkshire and the Humber is an official region of England encompassing major urban centers like Leeds and Sheffield along with parts of the historic county of Yorkshire.
  • D. North Tyneside
    North Tyneside is a metropolitan borough in Tyne and Wear, England, encompassing several coastal and urban communities on the north bank of the River Tyne.
  • E. Newcastle upon Tyne
    Newcastle upon Tyne is a major city in northeast England known for its industrial heritage, iconic Tyne Bridge, and vibrant cultural and nightlife scenes.
  • 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_69a88643a3388190a612f2ebe1fb29e7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65c905ec8190bea7cd72d218487a completed March 6, 2026, 5:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1bd5f68819080a4fe06e3e1f76d completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:32 p.m.