Triple

T3153313
Position Surface form Disambiguated ID Type / Status
Subject Merewether Beach E65926 entity
Predicate city P40 FINISHED
Object Newcastle E83982 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 | Statement: [Merewether Beach, city, Newcastle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newcastle
Context triple: [Merewether Beach, city, Newcastle]
  • A. Newcastle chosen
    Newcastle is a coastal city in New South Wales, Australia, known for its busy port, beaches, and industrial heritage.
  • B. Newcastle
    Newcastle is a major industrial and commercial city in South Africa’s KwaZulu-Natal province, known for its manufacturing, coal mining, and regional service economy.
  • C. Newcastle
    Newcastle is a suburban city in King County, Washington, known for its residential neighborhoods, parks, and proximity to Bellevue and Seattle.
  • D. 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.
  • E. 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.
  • 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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c3d6d481908c296e9e09c07f6f completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b354528b00819095fa9b8f28f2135c completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:05 p.m.