Triple

T29944270
Position Surface form Disambiguated ID Type / Status
Subject Sémillon–Sauvignon Blanc–Muscadelle E760588 entity
Predicate grapeRole_Muscadelle P168796 FINISHED
Object provides floral and grapey aromatics 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: provides floral and grapey aromatics | Statement: [Sémillon–Sauvignon Blanc–Muscadelle, grapeRole_Muscadelle, provides floral and grapey aromatics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grapeRole_Muscadelle
Context triple: [Sémillon–Sauvignon Blanc–Muscadelle, grapeRole_Muscadelle, provides floral and grapey aromatics]
  • A. grapeRole_Sémillon
    Indicates that the role or function being described specifically involves the Sémillon grape variety.
  • B. grapeRole_SauvignonBlanc
    Indicates that the role or function being referred to is specifically associated with Sauvignon Blanc grapes.
  • C. grapeVarietal
    Indicates that one entity is a specific type or variety of grape used in wine or grape production in relation to another entity.
  • D. grapeVarietyType
    Indicates the specific type or classification of a grape variety used or referred to in a given context.
  • E. alsoUsesGrapeVariety
    Indicates that one entity, in addition to another, makes use of the same grape variety in its composition or production.
  • F. None of above. chosen

Provenance (4 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_69f22463f3648190a603c3ff305c660b completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69f6780a76b0819091e8781ee21191ac completed May 2, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69f675ff62c48190a634bbb8896973b9 completed May 2, 2026, 10:09 p.m.
PDg Predicate description generation batch_69f676f73c3481909f01fa69851b7298 completed May 2, 2026, 10:13 p.m.
Created at: April 29, 2026, 6:23 p.m.