Triple

T7047633
Position Surface form Disambiguated ID Type / Status
Subject John Clive E163680 entity
Predicate notableWork P4 FINISHED
Object Barossa 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 | Statement: [John Clive, notableWork, Barossa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barossa
Context triple: [John Clive, notableWork, Barossa]
  • A. Barossa Valley chosen
    Barossa Valley is a renowned wine-producing region in Australia, famous for its Shiraz and historic vineyards.
  • B. 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.
  • C. 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.
  • D. Fleurieu wine zone
    The Fleurieu wine zone is a prominent South Australian wine area encompassing several renowned coastal and inland regions known for high-quality Shiraz and other premium varietals.
  • E. Coonawarra wine region
    Coonawarra wine region is a renowned Australian wine-producing area famous for its terra rossa soils and high-quality Cabernet Sauvignon.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e24c4004819086002bfe55502374 completed March 27, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887e6e50819088c23c9b45861a54 completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.