Triple

T950746
Position Surface form Disambiguated ID Type / Status
Subject Victoria E20514 entity
Predicate contains P35 FINISHED
Object Yarra Valley E6148 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: Yarra Valley | Statement: [Victoria, contains, Yarra Valley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yarra Valley
Context triple: [Victoria, contains, Yarra Valley]
  • A. Yarra Valley chosen
    Yarra Valley is a cool-climate wine region in Victoria, Australia, renowned for its high-quality Chardonnay and Pinot Noir wines.
  • B. Grose Valley
    Grose Valley is a vast, rugged sandstone gorge and wilderness area in Australia’s Blue Mountains, known for its dramatic cliffs, waterfalls, and bushwalking trails.
  • C. Hunter Valley
    Hunter Valley is a renowned wine-producing region in New South Wales, Australia, famous for its vineyards, cellar doors, and scenic rural landscapes.
  • D. Vaucluse
    Vaucluse is a department in southeastern France’s Provence-Alpes-Côte d’Azur region, known for its historic towns, vineyards, and picturesque landscapes including the Luberon and Mont Ventoux.
  • E. Adelaide Hills
    Adelaide Hills is a cool-climate wine and agricultural region in the Mount Lofty Ranges east of Adelaide, known for its vineyards, orchards, and scenic rural landscapes.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d62e408190855b2883407f6c6b completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933ab88b481908298cb855f46540e completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.