Triple

T22977973
Position Surface form Disambiguated ID Type / Status
Subject Soldiers Point E571377 entity
Predicate region P40 FINISHED
Object Port Stephens NE NERFINISHED

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: Port Stephens | Statement: [Soldiers Point, region, Port Stephens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Stephens
Context triple: [Soldiers Point, region, Port Stephens]
  • A. Port Stephens chosen
    Port Stephens is a large natural harbour and popular coastal tourist destination on the New South Wales mid-north coast of Australia, known for its beaches, marine life, and water-based recreation.
  • B. Port Stephens
    Port Stephens is a small coastal settlement on the western side of the Falkland Islands, known for its remote location and rugged natural surroundings.
  • C. Pittwater
    Pittwater is a scenic coastal estuary and popular boating and residential area in northern Sydney, New South Wales, Australia.
  • D. Nambucca Heads
    Nambucca Heads is a coastal town in New South Wales, Australia, known for its scenic river estuary, beaches, and role as a popular holiday destination.
  • E. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18292f3788190ab4e9d559e0070c8 completed April 29, 2026, 4:01 a.m.
Created at: April 17, 2026, 3:49 p.m.