Triple

T10299820
Position Surface form Disambiguated ID Type / Status
Subject Amajuba District Municipality E241597 entity
Predicate seat P75 FINISHED
Object Newcastle E153183 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: [Amajuba District Municipality, seat, Newcastle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newcastle
Context triple: [Amajuba District Municipality, seat, Newcastle]
  • A. Newcastle chosen
    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.
  • B. Newcastle
    Newcastle is a suburban city in King County, Washington, known for its residential neighborhoods, parks, and proximity to Bellevue and Seattle.
  • 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 major city in northeast England known for its industrial heritage, vibrant cultural scene, and status as a key regional hub on the River Tyne.
  • E. 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.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7501f76e081908a7509a877c72b82 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:44 a.m.