Triple

T18082542
Position Surface form Disambiguated ID Type / Status
Subject Alan Shearer E432730 entity
Predicate placeOfBirth P1 FINISHED
Object Newcastle upon 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: Newcastle upon Tyne | Statement: [Alan Shearer, placeOfBirth, Newcastle upon Tyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newcastle upon Tyne
Context triple: [Alan Shearer, placeOfBirth, 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 coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • C. 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.
  • D. Newcastle
    Newcastle is a seaside resort town in County Down, Northern Ireland, known for its beach and as a gateway to the Mourne Mountains.
  • E. Newcastle
    Newcastle is a small suburban village in South Dublin, Ireland, known for its historic character and proximity to Dublin city.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fc0c808190980c7364cf1a9398 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.