Triple

T26174028
Position Surface form Disambiguated ID Type / Status
Subject Frog’s Leap Winery E654485 entity
Predicate winemakingStyle P137849 FINISHED
Object low-intervention winemaking LITERAL 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: low-intervention winemaking | Statement: [Frog’s Leap Winery, winemakingStyle, low-intervention winemaking]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: winemakingStyle
Context triple: [Frog’s Leap Winery, winemakingStyle, low-intervention winemaking]
  • A. wineStyleContribution
    Indicates how much a given factor or component influences or shapes the overall style or character of a wine.
  • B. wineStyle
    Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
  • C. wineStylesAssociatedWith
    Indicates a relationship where certain wine styles are linked or connected to a particular entity, such as a region, grape, producer, or product.
  • D. commonVinification
    Indicates that two wines share the same or very similar vinification (winemaking) process.
  • E. oenologicalPractice chosen
    Indicates a relationship where an entity is involved in, applies, or is characterized by a specific winemaking or wine-handling practice.
  • F. None of above.

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_69ee5b45873c81909499203612d05d07 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f60c6a8fac81908d0cf663782b0b84 completed May 2, 2026, 2:38 p.m.
PD Predicate disambiguation batch_69f5b0021da88190bdd4cf2698c23edf completed May 2, 2026, 8:04 a.m.
Created at: April 26, 2026, 8:36 p.m.