Triple

T14387537
Position Surface form Disambiguated ID Type / Status
Subject Primitivo E356763 entity
Predicate commonBlendingUse P87423 FINISHED
Object blending with other southern Italian 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: blending with other southern Italian varieties | Statement: [Primitivo, commonBlendingUse, blending with other southern Italian varieties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: commonBlendingUse
Context triple: [Primitivo, commonBlendingUse, blending with other southern Italian varieties]
  • A. usedInBlends
    Indicates that something serves as an ingredient or component within one or more mixtures, combinations, or blends.
  • B. typicalBlendStyle
    Indicates the usual or characteristic way in which two or more elements are combined or mixed together.
  • C. notableBlendStyle
    Indicates a characteristic way in which elements are combined or mixed that is particularly distinctive or noteworthy.
  • D. hasBlendOfOldAndNew
    Indicates that something combines or integrates both traditional/older elements and modern/newer elements into a single whole.
  • E. oftenBlendedAs chosen
    Indicates that two or more entities are frequently mixed or combined together, typically to form a unified product or result.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90283b9c8190b50d30ad58bfe085 completed April 14, 2026, 7:06 p.m.
PD Predicate disambiguation batch_69de2aa024c48190805df6a9d63deb10 completed April 14, 2026, 11:53 a.m.
Created at: April 10, 2026, 1:16 a.m.