Triple

T31041841
Position Surface form Disambiguated ID Type / Status
Subject Canterbury wine region E791014 entity
Predicate viticulturalStyle P42963 FINISHED
Object cool-climate viticulture 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: cool-climate viticulture | Statement: [Canterbury wine region, viticulturalStyle, cool-climate viticulture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viticulturalStyle
Context triple: [Canterbury wine region, viticulturalStyle, cool-climate viticulture]
  • A. viticulturalFocus
    Indicates a focus on or specialization in viticulture, i.e., activities, practices, or interests centered on grape growing and vineyard management.
  • B. viticulturalCharacteristic
    Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
  • C. viticulturalFeature chosen
    Indicates a characteristic, condition, or attribute specifically related to grape growing or vineyard cultivation.
  • D. viticulturePractice
    Indicates a relationship where a specific method, technique, or practice is used in the cultivation and management of grapevines.
  • E. viticulturalRole
    Indicates the specific function, responsibility, or involvement an entity has within viticulture or grape-growing activities.
  • 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_69f224ca2fa881908a3ac5fedf207b90 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f694fa62308190aa7ca49724a6cb06 completed May 3, 2026, 12:21 a.m.
PD Predicate disambiguation batch_69f690f13d7481908ddfefe95df2a1c2 completed May 3, 2026, 12:04 a.m.
Created at: April 29, 2026, 8:59 p.m.