Triple

T11276892
Position Surface form Disambiguated ID Type / Status
Subject Coffs Coast E266959 entity
Predicate hasTown P847 FINISHED
Object Woolgoolga E114394 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: Woolgoolga | Statement: [Coffs Coast, hasTown, Woolgoolga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woolgoolga
Context triple: [Coffs Coast, hasTown, Woolgoolga]
  • A. Woolgoolga chosen
    Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
  • B. Dungog
    Dungog is a small rural town in New South Wales, Australia, known for its historic architecture, dairy farming, and proximity to the Barrington Tops National Park.
  • C. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • D. Boorowa
    Boorowa is a rural town in New South Wales, Australia, known for its rich agricultural surroundings and heritage streetscapes.
  • E. Gerringong
    Gerringong is a coastal town in New South Wales, Australia, known for its scenic beaches, dairy farming countryside, and relaxed seaside atmosphere.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e967ebb4819080b09ed3cec44e77 completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ee861f89b48190b06fba51475497e6 completed April 26, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:31 p.m.