Triple

T12053337
Position Surface form Disambiguated ID Type / Status
Subject Busselton E286974 entity
Predicate hasNearbyRegion P17964 FINISHED
Object Margaret River E12806 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: Margaret River | Statement: [Busselton, hasNearbyRegion, Margaret River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret River
Context triple: [Busselton, hasNearbyRegion, Margaret River]
  • A. Margaret River chosen
    Margaret River is a renowned wine-producing region in Western Australia, celebrated especially for its premium Chardonnay and other cool-climate varietals.
  • B. Scott River
    The Scott River is a major river in northern California known for its salmon and steelhead habitat and its role in regional agriculture and water management.
  • C. Dongara
    Dongara is a coastal town in Western Australia known for its fishing, beaches, and role as a service centre for the surrounding agricultural region.
  • D. Mathoura
    Mathoura is a small rural town in the Riverina region of New South Wales, Australia, known for its timber industry, wetlands, and proximity to the Murray River.
  • E. Coorow
    Coorow is a small rural town in Western Australia's Mid West region, known for its grain farming and wildflower displays.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90423b22081908fba82fbc6b40eb5 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3ee53c81909c2e4620a12a46da completed May 2, 2026, 3:54 p.m.
Created at: April 8, 2026, 9:47 p.m.