Triple

T16797760
Position Surface form Disambiguated ID Type / Status
Subject Geographe wine region E408276 entity
Predicate near P350 FINISHED
Object Busselton E286974 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: Busselton | Statement: [Geographe wine region, near, Busselton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Busselton
Context triple: [Geographe wine region, near, Busselton]
  • A. Busselton chosen
    Busselton is a coastal city in Western Australia best known for its long timber jetty, popular beaches, and role as a gateway to the Margaret River wine and tourism region.
  • B. Cunderdin
    Cunderdin is a small agricultural town in Western Australia known for its grain farming and role as a service centre in the Wheatbelt.
  • C. Mandurah
    Mandurah is a coastal city in Western Australia known for its waterways, beaches, and role as a popular holiday and commuter destination south of Perth.
  • D. Benowa
    Benowa is a suburb on Queensland’s Gold Coast in Australia, situated along the Nerang River and known for its residential areas, schools, and golf courses.
  • E. Port Lincoln
    Port Lincoln is a coastal city in South Australia known for its large natural harbor, tuna fishing industry, and shark cage diving tourism.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2ab08e8819097072a23c4a62392 completed April 18, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab1299ac81908e9f1eebc3424bb9 completed May 10, 2026, 3:58 p.m.
Created at: April 10, 2026, 5:22 a.m.