Triple

T12217285
Position Surface form Disambiguated ID Type / Status
Subject Roussanne E291116 entity
Predicate oakCompatibility P48645 FINISHED
Object well-suited to oak maturation 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: well-suited to oak maturation | Statement: [Roussanne, oakCompatibility, well-suited to oak maturation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oakCompatibility
Context triple: [Roussanne, oakCompatibility, well-suited to oak maturation]
  • A. oakAffinity
    Indicates a special connection, preference, or strong association between an entity and oak (such as oak trees, wood, or oak-related environments).
  • B. oakAgingTypical
    Indicates that it is typical or customary for something (such as a product, especially a beverage) to undergo aging in oak.
  • C. isGenerallyCompatibleWith chosen
    Indicates that two entities can typically function or coexist together without significant conflict, issues, or need for special adaptation.
  • D. compatibilityModel
    Indicates that one entity is defined or evaluated according to a specific compatibility framework, standard, or model in relation to another entity.
  • E. typicalOakAroma
    Indicates that something has the characteristic smell commonly associated with oak wood or oak aging.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d920e312708190b4aede2e21f5f697 completed April 10, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69d91c3d669c81908eea7ad61122d275 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:51 p.m.