Triple

T37272288
Position Surface form Disambiguated ID Type / Status
Subject Württemberg wine region E924544 entity
Predicate dominantVineTraining P43323 FINISHED
Object single-stake training 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: single-stake training | Statement: [Württemberg wine region, dominantVineTraining, single-stake training]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: dominantVineTraining
Context triple: [Württemberg wine region, dominantVineTraining, single-stake training]
  • A. typicalVineTraining chosen
    Indicates that one entity is the standard or commonly used method of training or shaping the growth of another entity, typically in a vine or climbing context.
  • B. hasVineTraining
    Indicates the method or system by which a vine is trained or supported in its growth and structure.
  • C. dominantTree
    Indicates that one tree has a dominant or prevailing influence over another tree, such as in size, canopy coverage, or competitive advantage within a shared environment.
  • D. hasTendrils
    Indicates that an entity possesses tendril-like extensions or appendages.
  • E. dominantPlantFamily
    Indicates that one plant family is the most prevalent or ecologically dominant group within a specified area, community, or context.
  • 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_69f76eacdd8c819094080d3991e6d37c completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fce7671f108190bf3ebf54339068b5 completed May 7, 2026, 7:26 p.m.
PD Predicate disambiguation batch_69fce5b5a84c81908ac1b5b9f08d48d0 completed May 7, 2026, 7:19 p.m.
Created at: May 3, 2026, 4:15 p.m.