Triple

T29213670
Position Surface form Disambiguated ID Type / Status
Subject Sousa E740606 entity
Predicate notableWineAttribute P16142 FINISHED
Object refreshing character — 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: refreshing character | Statement: [Sousa, notableWineAttribute, refreshing character]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableWineAttribute
Context triple: [Sousa, notableWineAttribute, refreshing character]
  • A. wineCharacteristic chosen
    Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
  • B. oenologicalProperty
    Indicates a relationship where a characteristic or attribute is specifically related to wine or the science of winemaking.
  • C. notableWine
    Indicates that a wine is recognized as significant, distinguished, or noteworthy in some context (such as quality, reputation, or historical importance).
  • D. appellationType
    Indicates the specific kind or category of name or designation applied to an entity.
  • E. wineAppellation
    Indicates that a wine originates from, and is classified under, a specific geographic appellation or designated wine-producing region.
  • 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_69f07cba2f808190a2746477d4e8345b completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_6a0324c2d618819093f7e6424b0f5baf completed May 12, 2026, 1:01 p.m.
PD Predicate disambiguation batch_6a0324292e588190b37d0c3016ea2062 completed May 12, 2026, 12:59 p.m.
Created at: April 28, 2026, 12:12 p.m.