Triple

T16138643
Position Surface form Disambiguated ID Type / Status
Subject Priorat E391594 entity
Predicate traditionalViticulturePractice P23971 FINISHED
Object low-yield vines 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: low-yield vines | Statement: [Priorat, traditionalViticulturePractice, low-yield vines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalViticulturePractice
Context triple: [Priorat, traditionalViticulturePractice, low-yield vines]
  • A. traditionalVinification
    Indicates that a wine is produced using traditional or historically established winemaking methods rather than modern or industrial techniques.
  • B. viticulturePractice chosen
    Indicates a relationship where a specific method, technique, or practice is used in the cultivation and management of grapevines.
  • C. traditionalGrapeVariety
    Indicates that a grape variety is traditionally or historically used in a specific region, wine style, or cultural winemaking practice.
  • D. viticulturalFocus
    Indicates a focus on or specialization in viticulture, i.e., activities, practices, or interests centered on grape growing and vineyard management.
  • E. viticulturalUse
    Indicates the way in which something is used or applied within the context of viticulture, such as grape growing or vineyard management practices.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
PD Predicate disambiguation batch_69e182885bc08190822ae7e8a4b8ac1f completed April 17, 2026, 12:44 a.m.
Created at: April 10, 2026, 5:01 a.m.