Triple

T316244
Position Surface form Disambiguated ID Type / Status
Subject Georgian traditional Qvevri wine-making E7712 entity
Predicate typicalFermentationStyle P2475 FINISHED
Object skin-contact fermentation 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: skin-contact fermentation | Statement: [Georgian traditional Qvevri wine-making, typicalFermentationStyle, skin-contact fermentation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalFermentationStyle
Context triple: [Georgian traditional Qvevri wine-making, typicalFermentationStyle, skin-contact fermentation]
  • A. wineStyle
    Indicates the stylistic category or type of wine (such as its production style, sweetness, body, or other defining characteristics) associated with an entity.
  • B. traditionalDrink
    Indicates that one entity is a beverage customarily consumed within the culture, heritage, or longstanding practices associated with another entity.
  • C. typicalFlavor
    Indicates that something characteristically has or is associated with a particular flavor.
  • D. typicalProductionType chosen
    Indicates the usual or characteristic type of production activity associated with an entity.
  • E. primaryGrapeVariety
    Indicates that one entity is the main or predominant grape variety used in producing the other entity (typically a wine or wine-based product).
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea6462148190825acc57f6d2adaf completed Feb. 28, 2026, 1:15 p.m.
PD Predicate disambiguation batch_69a2e943f12c8190883854aeed974260 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.