Triple

T12646128
Position Surface form Disambiguated ID Type / Status
Subject Washington, Tyne and Wear E302027 entity
Predicate near P350 FINISHED
Object Newcastle upon Tyne E19107 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: Newcastle upon Tyne | Statement: [Washington, Tyne and Wear, near, Newcastle upon Tyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Newcastle upon Tyne
Context triple: [Washington, Tyne and Wear, near, Newcastle upon Tyne]
  • A. Newcastle upon Tyne chosen
    Newcastle upon Tyne is a major city in northeast England known for its industrial heritage, iconic Tyne Bridge, and vibrant cultural and nightlife scenes.
  • B. Newcastle
    Newcastle is a community in the municipality of Clarington, Ontario, known for its small-town character and location along the north shore of Lake Ontario.
  • C. Newcastle
    Newcastle is a settlement within the Parish of St. Andrew, likely a small town or village in a predominantly rural Caribbean island parish.
  • D. Newcastle
    Newcastle is a small suburban village in South Dublin, Ireland, known for its historic character and proximity to Dublin city.
  • E. Newcastle
    Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614cefdc81908cfc4a4d04aa6eda completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f66854281c8190bd8d21d501cddb89 completed May 2, 2026, 9:10 p.m.
Created at: April 9, 2026, 5:17 p.m.