Triple

T29944243
Position Surface form Disambiguated ID Type / Status
Subject Sémillon–Sauvignon Blanc–Muscadelle E760588 entity
Predicate derivesRichnessFrom P171288 FINISHED
Object Sémillon NE NERFINISHED

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: Sémillon | Statement: [Sémillon–Sauvignon Blanc–Muscadelle, derivesRichnessFrom, Sémillon]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: derivesRichnessFrom
Context triple: [Sémillon–Sauvignon Blanc–Muscadelle, derivesRichnessFrom, Sémillon]
  • A. richness
    Indicates that an entity possesses a high degree of abundance, complexity, or density in some valued attribute or resource.
  • B. hasRichnessClass
    Indicates that an entity is assigned to a particular richness category or level within a defined classification system.
  • C. richIn
    Indicates that something contains a high amount or concentration of a particular substance, quality, or resource.
  • D. hasRich
    Indicates that an entity possesses or is characterized by a high level of wealth, abundance, or valuable resources.
  • E. richerThan
    Indicates that one entity possesses greater wealth or financial resources than another entity.
  • 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_69f69f80b62c8190bf2af2be0d3a7df8 completed May 3, 2026, 1:06 a.m.
PD Predicate disambiguation batch_69f69d1a37e081908d1d86b90ff502bd completed May 3, 2026, 12:55 a.m.
PDg Predicate description generation batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 completed May 3, 2026, 12:59 a.m.
Created at: April 29, 2026, 6:23 p.m.