Triple

T16850637
Position Surface form Disambiguated ID Type / Status
Subject Brokers Nose E409665 entity
Predicate near P350 FINISHED
Object Corrimal 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: Corrimal | Statement: [Brokers Nose, near, Corrimal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corrimal
Context triple: [Brokers Nose, near, Corrimal]
  • A. Corrimal chosen
    Corrimal is a coastal suburb in the northern part of Wollongong, New South Wales, Australia, known for its residential areas, local shopping precinct, and proximity to beaches and escarpment bushland.
  • B. Wyong
    Wyong is a town and administrative centre on the Central Coast of New South Wales, Australia.
  • C. Berrima
    Berrima is a historic village in New South Wales, Australia, known for its well-preserved colonial architecture and heritage-listed buildings.
  • D. Mullumbimby
    Mullumbimby is a small town in northern New South Wales, Australia, known for its alternative culture and proximity to the Byron Bay region.
  • E. Coomera
    Coomera is a rapidly growing suburb in the northern Gold Coast region of Queensland, Australia, known for its theme parks, residential developments, and transport links.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b378dda48190ab81d75f2cfe3ab3 completed April 18, 2026, 4:38 p.m.
Created at: April 10, 2026, 5:24 a.m.