Triple

T11276808
Position Surface form Disambiguated ID Type / Status
Subject Yamba Lighthouse E266957 entity
Predicate locatedIn P40 FINISHED
Object Yamba, New South Wales E909534 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: Yamba, New South Wales | Statement: [Yamba Lighthouse, locatedIn, Yamba, New South Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yamba, New South Wales
Context triple: [Yamba Lighthouse, locatedIn, Yamba, New South Wales]
  • A. Yamba, New South Wales chosen
    Yamba, New South Wales is a coastal town at the mouth of the Clarence River known for its beaches, fishing, and relaxed holiday atmosphere on the North Coast of Australia.
  • B. Yenda, New South Wales
    Yenda, New South Wales is a small rural town in the Riverina region known for its significant role in Australia’s wine and agriculture industries.
  • 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. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • 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_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_69e4f455f0bc8190994c57264f775f60 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.