Triple

T22196715
Position Surface form Disambiguated ID Type / Status
Subject Maipo Andes E548567 entity
Predicate oenologicalCharacteristic P16142 FINISHED
Object good tannic structure 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: good tannic structure | Statement: [Maipo Andes, oenologicalCharacteristic, good tannic structure]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oenologicalCharacteristic
Context triple: [Maipo Andes, oenologicalCharacteristic, good tannic structure]
  • A. wineCharacteristic chosen
    Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
  • B. viticulturalCharacteristic
    Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
  • C. oenologicalSignificance
    Indicates the relationship in which something holds importance, relevance, or notable impact within the context of wine or winemaking.
  • D. oenologicalPractice
    Indicates a relationship where an entity is involved in, applies, or is characterized by a specific winemaking or wine-handling practice.
  • E. viticulturalFeature
    Indicates a characteristic, condition, or attribute specifically related to grape growing or vineyard cultivation.
  • 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_69e11e3ecc7c8190b5f94cd8f42e9d37 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae7c72081909b7817d66391bef4 completed April 28, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e71b48576c8190a8e93738fd9cfda5 completed April 21, 2026, 6:38 a.m.
Created at: April 16, 2026, 8:35 p.m.