Triple

T8774980
Position Surface form Disambiguated ID Type / Status
Subject Ancient Lakes of Columbia Valley AVA E208554 entity
Predicate wineProductionFocus P26509 FINISHED
Object still wines 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: still wines | Statement: [Ancient Lakes of Columbia Valley AVA, wineProductionFocus, still wines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wineProductionFocus
Context triple: [Ancient Lakes of Columbia Valley AVA, wineProductionFocus, still wines]
  • A. viticulturalFocus
    Indicates a focus on or specialization in viticulture, i.e., activities, practices, or interests centered on grape growing and vineyard management.
  • B. producesWine chosen
    Indicates that one entity creates or manufactures wine as a product.
  • C. wineLaw
    Indicates a legal or regulatory relationship governing the production, sale, labeling, or distribution of wine.
  • D. oenologicalSignificance
    Indicates the relationship in which something holds importance, relevance, or notable impact within the context of wine or winemaking.
  • E. viticulturePractice
    Indicates a relationship where a specific method, technique, or practice is used in the cultivation and management of grapevines.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f30428881909de72c08972224f0 completed March 31, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69cc5c1aff3881908be6a9cbc9f50461 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:41 p.m.