Triple

T4466136
Position Surface form Disambiguated ID Type / Status
Subject Hunter Expressway E98381 entity
Predicate servesCity P82 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: [Hunter Expressway, servesCity, Newcastle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newcastle
Context triple: [Hunter Expressway, servesCity, 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
    Newcastle is a settlement within the Parish of St. Andrew, likely a small town or village in a predominantly rural Caribbean island parish.
  • E. Newcastle
    Newcastle is a seaside resort town in County Down, Northern Ireland, known for its beach and as a gateway to the Mourne Mountains.
  • 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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356991a588190be2f95fd957d7f99 completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6376c8e74819087aa2ff3e4429674 completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:34 p.m.