Triple

T3257372
Position Surface form Disambiguated ID Type / Status
Subject Brisbane Water National Park E68328 entity
Predicate containsTownshipNearby P3883 FINISHED
Object Woy Woy E67442 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: Woy Woy | Statement: [Brisbane Water National Park, containsTownshipNearby, Woy Woy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woy Woy
Context triple: [Brisbane Water National Park, containsTownshipNearby, Woy Woy]
  • A. Woy Woy chosen
    Woy Woy is a coastal town in New South Wales, Australia, known for its waterways, relaxed lifestyle, and role as a popular holiday and commuter destination.
  • B. 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.
  • C. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • D. Kariong
    Kariong is a suburban township on the Central Coast of New South Wales, Australia, known as a gateway to Brisbane Water National Park and nearby natural attractions.
  • E. Woolgoolga
    Woolgoolga is a coastal town in New South Wales, Australia, known for its beaches, Sikh community, and banana plantations.
  • 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_69ad858f74408190bcbd07f967cd7bd0 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf68b280819087c302d454490c03 completed March 8, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b36093ae9081909f6e63b1efcb9fbb completed March 13, 2026, 12:55 a.m.
Created at: March 8, 2026, 3:09 p.m.