Triple

T29728609
Position Surface form Disambiguated ID Type / Status
Subject Pécharmant E752255 entity
Predicate primaryGrapeStyle P203430 FINISHED
Object Bordeaux grape varieties 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: Bordeaux grape varieties | Statement: [Pécharmant, primaryGrapeStyle, Bordeaux grape varieties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryGrapeStyle
Context triple: [Pécharmant, primaryGrapeStyle, Bordeaux grape varieties]
  • A. 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).
  • B. primaryGrapeFamily
    Indicates that one grape variety belongs to, or is classified under, a broader primary grape family.
  • C. grapeVarietyType
    Indicates the specific type or classification of a grape variety used or referred to in a given context.
  • D. primaryGrapeUse
    Indicates that a grape variety is primarily used for a particular purpose, such as winemaking, table consumption, or raisin production.
  • E. traditionalGrapeVariety
    Indicates that a grape variety is traditionally or historically used in a specific region, wine style, or cultural winemaking practice.
  • 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_69f0d62a36a88190bf860f00da433ff8 completed April 28, 2026, 3:45 p.m.
NER Named-entity recognition batch_6a017d27e184819094638c3cf6876de4 completed May 11, 2026, 6:54 a.m.
PD Predicate disambiguation batch_6a017c785a44819083111384b55769e9 completed May 11, 2026, 6:51 a.m.
PDg Predicate description generation batch_6a017d270e9881909e70280ff4e45e9a completed May 11, 2026, 6:54 a.m.
Created at: April 28, 2026, 7:40 p.m.