Triple

T18492799
Position Surface form Disambiguated ID Type / Status
Subject New World wine region E451857 entity
Predicate includesRegion P285 FINISHED
Object Vale dos Vinhedos NE NERFINISHED

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: Vale dos Vinhedos | Statement: [New World wine region, includesRegion, Vale dos Vinhedos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vale dos Vinhedos
Context triple: [New World wine region, includesRegion, Vale dos Vinhedos]
  • A. Vale dos Vinhedos chosen
    Vale dos Vinhedos is a renowned Brazilian wine-producing valley in Rio Grande do Sul, celebrated for its vineyards, wineries, and strong Italian immigrant heritage.
  • B. Vila Viçosa
    Vila Viçosa is a historic town in Portugal renowned for its marble quarries and as a former residence of the Portuguese royal family.
  • C. Vila Flor
    Vila Flor is a municipality in northern Portugal, situated in the Douro region known for its wine production and scenic landscapes.
  • D. Vila-seca
    Vila-seca is a coastal municipality in Catalonia, Spain, known for its tourism, proximity to Tarragona, and educational facilities including a campus of Rovira i Virgili University.
  • E. Vinhedo
    Vinhedo is a municipality in southeastern Brazil known for its high quality of life, proximity to Campinas, and attractions such as the Hopi Hari theme park and annual grape festival.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532be5e988190aae93a66f6e5f857 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:35 a.m.