Triple

T15879562
Position Surface form Disambiguated ID Type / Status
Subject Laurelwood District AVA E385038 entity
Predicate grapeStyleAssociation P55208 FINISHED
Object elegant Pinot Noir 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: elegant Pinot Noir | Statement: [Laurelwood District AVA, grapeStyleAssociation, elegant Pinot Noir]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grapeStyleAssociation
Context triple: [Laurelwood District AVA, grapeStyleAssociation, elegant Pinot Noir]
  • A. wineStylesAssociatedWith chosen
    Indicates a relationship where certain wine styles are linked or connected to a particular entity, such as a region, grape, producer, or product.
  • B. wineStyleContribution
    Indicates how much a given factor or component influences or shapes the overall style or character of a wine.
  • C. wineStyle
    Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
  • D. usesGrapeType
    Indicates that one entity employs or incorporates a specific type or variety of grape in its composition, production, or process.
  • E. belongsToAppellation
    Indicates that something is associated with or falls under a specific appellation or designated name/category.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e174de2cd48190ab18e48c9f051a2a completed April 16, 2026, 11:46 p.m.
PD Predicate disambiguation batch_69e142c3e18c8190bb7b023f4a0eaebb completed April 16, 2026, 8:12 p.m.
Created at: April 10, 2026, 4:51 a.m.