Triple

T3195035
Position Surface form Disambiguated ID Type / Status
Subject Wyong Local Court E66914 entity
Predicate locatedIn P40 FINISHED
Object Wyong E66914 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: Wyong | Statement: [Wyong Local Court, locatedIn, Wyong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wyong
Context triple: [Wyong Local Court, locatedIn, Wyong]
  • A. Wyong chosen
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • B. Woolgoolga
    Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
  • C. Wollombi
    Wollombi is a small historic village in the Hunter Region of New South Wales, Australia, known for its colonial-era buildings, wineries, and scenic rural setting.
  • D. Menindee
    Menindee is a small town in western New South Wales, Australia, known for its historic river port heritage and proximity to the Menindee Lakes system.
  • E. Bellingen
    Bellingen is a small, picturesque town in New South Wales, Australia, known for its lush hinterland setting, vibrant arts and music scene, and proximity to the Bellinger River and Dorrigo National Park.
  • 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_69ad8588ba18819086a10951c32ecb80 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada7163c6c8190b26b05b66740264d completed March 8, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2770201888190af6cbeded6d1ae56 completed March 12, 2026, 8:19 a.m.
Created at: March 8, 2026, 3:07 p.m.