Triple

T822488
Position Surface form Disambiguated ID Type / Status
Subject Cessnock, New South Wales E17779 entity
Predicate localGovernmentArea P3379 FINISHED
Object City of Cessnock E81928 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: City of Cessnock | Statement: [Cessnock, New South Wales, localGovernmentArea, City of Cessnock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Cessnock
Context triple: [Cessnock, New South Wales, localGovernmentArea, City of Cessnock]
  • A. Cessnock chosen
    Cessnock is a city in New South Wales, Australia, known as a gateway to the Hunter Valley wine region.
  • B. Great Ryburgh
    Great Ryburgh is a rural village in Norfolk, England, known for its historic church and traditional countryside setting near the market town of Fakenham.
  • C. Knightdale
    Knightdale is a suburban town in Wake County, North Carolina, located just east of Raleigh within the state’s Research Triangle region.
  • D. Godalming
    Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
  • E. Clarence Town
    Clarence Town is a small rural township in New South Wales, Australia, known for its historic riverside setting and heritage buildings.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab7c139c8190b6d75661b5138d89 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d91c2948190bc13a223548facba completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.