Triple

T14006053
Position Surface form Disambiguated ID Type / Status
Subject Daleys Point E336948 entity
Predicate nearbySuburb P41355 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: [Daleys Point, nearbySuburb, Woy Woy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Woy Woy
Context triple: [Daleys Point, nearbySuburb, 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. Gerringong
    Gerringong is a coastal town in New South Wales, Australia, known for its scenic beaches, dairy farming countryside, and relaxed seaside atmosphere.
  • D. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • E. 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.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed327d88190a53af5768468a8eb completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc329891c8190b4dcb9913e235a1c completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:19 p.m.