Triple

T16801700
Position Surface form Disambiguated ID Type / Status
Subject Rutherford AVA E408370 entity
Predicate hasTerroirDescriptor P42963 FINISHED
Object Rutherford dust 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: Rutherford dust | Statement: [Rutherford AVA, hasTerroirDescriptor, Rutherford dust]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTerroirDescriptor
Context triple: [Rutherford AVA, hasTerroirDescriptor, Rutherford dust]
  • A. terroirDriven
    Indicates that something, typically a product like wine or food, is strongly shaped or characterized by the specific environmental conditions and place where it originates.
  • B. viticulturalCharacteristic
    Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
  • C. viticulturalFeature chosen
    Indicates a characteristic, condition, or attribute specifically related to grape growing or vineyard cultivation.
  • D. wineAppellation
    Indicates that a wine originates from, and is classified under, a specific geographic appellation or designated wine-producing region.
  • E. appellationType
    Indicates the specific kind or category of name or designation applied to an entity.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2c826808190aa0a5bfcde2e49a8 completed April 18, 2026, 4:35 p.m.
PD Predicate disambiguation batch_69e319d0fdb8819088425bd82431640f completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:22 a.m.