Triple

T1073784
Position Surface form Disambiguated ID Type / Status
Subject Mendocino AVA E23386 entity
Predicate viticulturePractice P23971 FINISHED
Object organic farming 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: organic farming | Statement: [Mendocino AVA, viticulturePractice, organic farming]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viticulturePractice
Context triple: [Mendocino AVA, viticulturePractice, organic farming]
  • A. viticulturalFocus
    Indicates a focus on or specialization in viticulture, i.e., activities, practices, or interests centered on grape growing and vineyard management.
  • B. viticulturalChallenge
    Indicates a relationship where one party faces or presents a difficulty, problem, or obstacle specifically related to grape growing or vineyard management.
  • C. viticultureHistory
    Indicates the historical development, practices, and events related to grape cultivation and winemaking over time.
  • D. viticulturalCharacteristic
    Indicates a relationship where a specific trait, quality, or property is attributed to viticulture or grape-growing practices.
  • E. vinification
    Indicates the process by which grapes (or other fruits) are transformed into wine through fermentation and related winemaking steps.
  • F. None of above. chosen

Provenance (4 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92cbfd481909e2f928c1d06ebaa completed March 1, 2026, 10:09 p.m.
PD Predicate disambiguation batch_69a4b73844708190a16c9e9824ca2fb6 completed March 1, 2026, 10:01 p.m.
PDg Predicate description generation batch_69a4b8d5076481908640a0d873efdf14 completed March 1, 2026, 10:08 p.m.
Created at: March 1, 2026, 7:42 p.m.