Triple

T12346959
Position Surface form Disambiguated ID Type / Status
Subject Angaston E294380 entity
Predicate locatedIn P40 FINISHED
Object Barossa wine region E60364 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: Barossa wine region | Statement: [Angaston, locatedIn, Barossa wine region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barossa wine region
Context triple: [Angaston, locatedIn, Barossa wine region]
  • A. Barossa Valley chosen
    Barossa Valley is a renowned wine-producing region in Australia, famous for its Shiraz and historic vineyards.
  • B. McLaren Vale wine region
    McLaren Vale wine region is a renowned Australian wine-producing area celebrated for its premium Shiraz and Mediterranean-style red and white wines.
  • C. Clare Valley wine region
    Clare Valley wine region is a renowned Australian wine-producing area famous for its high-quality Rieslings and picturesque vineyards in South Australia.
  • D. Coonawarra wine region
    Coonawarra wine region is a renowned Australian wine-producing area famous for its terra rossa soils and high-quality Cabernet Sauvignon.
  • E. Sunbury wine region
    The Sunbury wine region is a cool-climate Victorian wine-producing area near Melbourne, known especially for its Shiraz and other classic varieties.
  • 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_69d6ab6ccbec8190b09e2d357aa80064 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f7ba17481908b03af7316b28d9b completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a533a2788190b885c000c29f4e87 completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:53 p.m.